G06V10/00	7	Arrangements for image or video recognition or understanding (character recognition in images or video G06V30/10)	G06V10/00	G06V10/00		126
G06V10/10	8	Image acquisition (document image scanning and transmission H04N1/00; control of digital cameras H04N23/60)	G06V10/10	G06V10/10		4690
G06V10/12	9	Details of acquisition arrangements; Constructional details thereof	G06V10/12	G06V10/12		2537
G06V10/14	10	Optical characteristics of the device performing the acquisition or on the illumination arrangements	G06V10/14	G06V10/14		841
G06V10/141	11	Control of illumination	G06V10/141	G06V10/141		3388
G06V10/143	11	Sensing or illuminating at different wavelengths	G06V10/143	G06V10/143		4044
G06V10/145	11	Illumination specially adapted for pattern recognition, e.g. using gratings	G06V10/145	G06V10/145		1735
G06V10/147	11	Details of sensors, e.g. sensor lenses (fingerprint or palmprint sensors G06V40/13; vascular sensors G06V40/145; eye sensors G06V40/19)	G06V10/147	G06V10/147		3616
G06V10/16	9	{using multiple overlapping images; Image stitching}	G06V10/10	G06V10/16		2293
G06V10/17	9	{using hand-held instruments}	G06V10/10	G06V10/17		1166
G06V10/19	9	{by sensing codes defining pattern positions}	G06V10/10	G06V10/19		178
G06V10/20	8	Image preprocessing	G06V10/20	G06V10/20		6252
G06V10/22	9	by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition	G06V10/22	G06V10/22		8448
G06V10/225	10	{based on a marking or identifier characterising the area}	G06V10/22	G06V10/22		1948
G06V10/23	10	{based on positionally close patterns or neighbourhood relationships}	G06V10/22	G06V10/23		215
G06V10/235	10	{based on user input or interaction}	G06V10/22	G06V10/235		1030
G06V10/24	9	Aligning, centring, orientation detection or correction of the image	G06V10/24	G06V10/24		3136
G06V10/242	10	{by image rotation, e.g. by 90 degrees}	G06V10/24	G06V10/24		1346
G06V10/243	10	{by compensating for image skew or non-uniform image deformations}	G06V10/24	G06V10/24		975
G06V10/245	10	{by locating a pattern; Special marks for positioning}	G06V10/24	G06V10/24		2730
G06V10/247	10	{by affine transforms, e.g. correction due to perspective effects; Quadrilaterals, e.g. trapezoids}	G06V10/24	G06V10/24		856
G06V10/248	10	{by interactive preprocessing or interactive shape modelling, e.g. feature points assigned by a user}	G06V10/24	G06V10/24		137
G06V10/25	9	Determination of region of interest [ROI] or a volume of interest [VOI]	G06V10/25	G06V10/25		33757
G06V10/255	9	{Detecting or recognising potential candidate objects based on visual cues, e.g. shapes}	G06V10/20	G06V10/25		3572
G06V10/26	9	Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion	G06V10/26	G06V10/26		22397
G06V10/267	10	{by performing operations on regions, e.g. growing, shrinking or watersheds}	G06V10/26	G06V10/26		11379
G06V10/273	10	{removing elements interfering with the pattern to be recognised}	G06V10/26	G06V10/273		833
G06V10/28	9	Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns	G06V10/28	G06V10/28		5701
G06V10/30	9	Noise filtering	G06V10/30	G06V10/30		9557
G06V10/32	9	Normalisation of the pattern dimensions	G06V10/32	G06V10/32		1778
G06V10/34	9	Smoothing or thinning of the pattern; Morphological operations; Skeletonisation	G06V10/34	G06V10/34		2652
G06V10/36	9	Applying a local operator, i.e. means to operate on image points situated in the vicinity of a given point; Non-linear local filtering operations, e.g. median filtering	G06V10/36	G06V10/36		1406
G06V10/40	8	Extraction of image or video features	G06V10/40	G06V10/40		22857
G06V10/42	9	Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation	G06V10/42	G06V10/42		5210
G06V10/421	10	{by analysing segments intersecting the pattern}	G06V10/42	G06V10/42		343
G06V10/422	10	for representing the structure of the pattern or shape of an object therefor	G06V10/422	G06V10/422		976
G06V10/424	11	Syntactic representation, e.g. by using alphabets or grammars	G06V10/424	G06V10/424		109
G06V10/426	11	Graphical representations	G06V10/426	G06V10/426		490
G06V10/431	10	{Frequency domain transformation; Autocorrelation}	G06V10/42	G06V10/431		747
G06V10/435	10	{Computation of moments}	G06V10/42	G06V10/435		210
G06V10/44	9	Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components	G06V10/44	G06V10/44		29164
G06V10/443	10	{by matching or filtering}	G06V10/44	G06V10/44		2448
G06V10/446	11	{using Haar-like filters, e.g. using integral image techniques}	G06V10/44	G06V10/44		402
G06V10/449	11	{Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters}	G06V10/44	G06V10/44		544
G06V10/451	12	{with interaction between the filter responses, e.g. cortical complex cells}	G06V10/44	G06V10/451		136
G06V10/454	13	{Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]}	G06V10/44	G06V10/454		19940
G06V10/457	10	{by analysing connectivity, e.g. edge linking, connected component analysis or slices}	G06V10/44	G06V10/457		1353
G06V10/46	9	Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features (colour feature extraction G06V10/56)	G06V10/46	G06V10/46		3049
G06V10/462	10	{Salient features, e.g. scale invariant feature transforms [SIFT]}	G06V10/46	G06V10/46		9127
G06V10/464	11	{using a plurality of salient features, e.g. bag-of-words [BoW] representations}	G06V10/46	G06V10/46		1111
G06V10/467	10	{Encoded features or binary features, e.g. local binary patterns [LBP]}	G06V10/46	G06V10/46		1529
G06V10/469	10	{Contour-based spatial representations, e.g. vector-coding}	G06V10/46	G06V10/46		1466
G06V10/471	11	{using approximation functions}	G06V10/46	G06V10/471		60
G06V10/473	11	{using gradient analysis}	G06V10/46	G06V10/473		235
G06V10/476	11	{using statistical shape modelling, e.g. point distribution models}	G06V10/46	G06V10/476		79
G06V10/478	10	{Contour-based spectral representations or scale-space representations, e.g. by Fourier analysis, wavelet analysis or curvature scale-space [CSS]}	G06V10/46	G06V10/478		231
G06V10/48	9	by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation	G06V10/48	G06V10/48		1145
G06V10/50	9	by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis	G06V10/50	G06V10/50		4819
G06V10/507	10	{Summing image-intensity values; Histogram projection analysis}	G06V10/50	G06V10/50		1453
G06V10/513	9	{Sparse representations}	G06V10/40	G06V10/513		797
G06V10/52	9	Scale-space analysis, e.g. wavelet analysis (multi-scale boundary representations G06V10/42)	G06V10/52	G06V10/52		5502
G06V10/54	9	relating to texture	G06V10/54	G06V10/54		4929
G06V10/56	9	relating to colour	G06V10/56	G06V10/56		13741
G06V10/58	9	relating to hyperspectral data	G06V10/58	G06V10/58		1617
G06V10/60	9	relating to illumination properties, e.g. using a reflectance or lighting model	G06V10/60	G06V10/60		2887
G06V10/62	9	relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking	G06V10/62	G06V10/62		5690
G06V10/70	8	using pattern recognition or machine learning (optical pattern recognition or electronic computations therefor G06V10/88)	G06V10/70	G06V10/70		2359
G06V10/72	9	Data preparation, e.g. statistical preprocessing of image or video features	G06V10/72	G06V10/72		913
G06V10/74	9	Image or video pattern matching; Proximity measures in feature spaces	G06V10/74	G06V10/74		4257
G06V10/75	10	Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries	G06V10/75	G06V10/75		7596
G06V10/751	11	{Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching}	G06V10/75	G06V10/75		8049
G06V10/7515	12	{Shifting the patterns to accommodate for positional errors}	G06V10/75	G06V10/75		778
G06V10/752	11	{Contour matching}	G06V10/75	G06V10/75		878
G06V10/753	11	{Transform-based matching, e.g. Hough transform}	G06V10/75	G06V10/75		163
G06V10/754	11	{involving a deformation of the sample pattern or of the reference pattern; Elastic matching}	G06V10/75	G06V10/75		421
G06V10/755	11	{Deformable models or variational models, e.g. snakes or active contours}	G06V10/75	G06V10/75		182
G06V10/7553	12	{based on shape, e.g. active shape models [ASM]}	G06V10/75	G06V10/75		169
G06V10/7557	12	{based on appearance, e.g. active appearance models [AAM]}	G06V10/75	G06V10/75		150
G06V10/757	11	{Matching configurations of points or features}	G06V10/75	G06V10/75		4598
G06V10/758	11	{Involving statistics of pixels or of feature values, e.g. histogram matching}	G06V10/75	G06V10/75		1475
G06V10/759	11	{Region-based matching}	G06V10/75	G06V10/75		631
G06V10/76	11	{based on eigen-space representations, e.g. from pose or different illumination conditions; Shape manifolds}	G06V10/75	G06V10/76		163
G06V10/761	10	{Proximity, similarity or dissimilarity measures}	G06V10/74	G06V10/761		19057
G06V10/762	9	using clustering, e.g. of similar faces in social networks	G06V10/762	G06V10/762		8903
G06V10/7625	10	{Hierarchical techniques, i.e. dividing or merging patterns to obtain a tree-like representation; Dendograms}	G06V10/762	G06V10/762		448
G06V10/763	10	{Non-hierarchical techniques, e.g. based on statistics of modelling distributions}	G06V10/762	G06V10/763		4717
G06V10/7635	10	{based on graphs, e.g. graph cuts or spectral clustering}	G06V10/762	G06V10/7635		310
G06V10/764	9	using classification, e.g. of video objects	G06V10/764	G06V10/764		68650
G06V10/765	10	{using rules for classification or partitioning the feature space}	G06V10/764	G06V10/765		7579
G06V10/766	9	using regression, e.g. by projecting features on hyperplanes	G06V10/766	G06V10/766		5095
G06V10/768	9	{using context analysis, e.g. recognition aided by known co-occurring patterns}	G06V10/70	G06V10/768		700
G06V10/77	9	Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation	G06V10/77	G06V10/77		1212
G06V10/771	10	Feature selection, e.g. selecting representative features from a multi-dimensional feature space	G06V10/771	G06V10/771		2047
G06V10/7715	10	{Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods}	G06V10/77	G06V10/771		8613
G06V10/772	10	Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries	G06V10/772	G06V10/772		1122
G06V10/774	10	Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting	G06V10/774	G06V10/774		45338
G06V10/7747	11	{Organisation of the process, e.g. bagging or boosting}	G06V10/774	G06V10/774		899
G06V10/7753	11	{Incorporation of unlabelled data, e.g. multiple instance learning [MIL]}	G06V10/774	G06V10/77		1290
G06V10/776	10	Validation; Performance evaluation	G06V10/776	G06V10/776		6287
G06V10/778	10	Active pattern-learning, e.g. online learning of image or video features	G06V10/778	G06V10/778		1536
G06V10/7784	11	{based on feedback from supervisors}	G06V10/778	G06V10/778		387
G06V10/7788	12	{the supervisor being a human, e.g. interactive learning with a human teacher}	G06V10/778	G06V10/778		611
G06V10/7792	12	{the supervisor being an automated module, e.g. "intelligent oracle"}	G06V10/778	G06V10/77		123
G06V10/7796	11	{based on specific statistical tests}	G06V10/778	G06V10/77		135
G06V10/80	10	Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level (multimodal speaker identification or verification G10L17/10)	G06V10/80	G06V10/80		6919
G06V10/803	11	{of input or preprocessed data}	G06V10/80	G06V10/80		2422
G06V10/806	11	{of extracted features}	G06V10/80	G06V10/80		35247
G06V10/809	11	{of classification results, e.g. where the classifiers operate on the same input data}	G06V10/80	G06V10/80		1326
G06V10/811	12	{the classifiers operating on different input data, e.g. multi-modal recognition}	G06V10/80	G06V10/811		2067
G06V10/814	11	{using belief theory, e.g. Dempster-Shafer}	G06V10/80	G06V10/814		75
G06V10/817	11	{by voting}	G06V10/80	G06V10/817		264
G06V10/82	9	using neural networks	G06V10/82	G06V10/82		116529
G06V10/84	9	using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks	G06V10/84	G06V10/84		800
G06V10/85	10	{Markov-related models; Markov random fields}	G06V10/84	G06V10/85		329
G06V10/86	9	using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognition; using graph matching	G06V10/86	G06V10/86		441
G06V10/87	9	{using selection of the recognition techniques, e.g. of a classifier in a multiple classifier system}	G06V10/70	G06V10/87		555
G06V10/88	8	Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters	G06V10/88	G06V10/88		971
G06V10/89	9	{using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators}	G06V10/88	G06V10/89		92
G06V10/893	10	{characterised by the kind of filter}	G06V10/88	G06V10/893		16
G06V10/895	11	{the filter being related to phase processing, e.g. phase-only filters}	G06V10/88	G06V10/895		89
G06V10/898	11	{combination of filters, e.g. phase-only filters}	G06V10/88	G06V10/898		16
G06V10/92	9	{using spatial domain filters, e.g. joint transform correlators}	G06V10/88	G06V10/92		55
G06V10/94	8	Hardware or software architectures specially adapted for image or video understanding	G06V10/94	G06V10/94		2245
G06V10/945	9	{User interactive design; Environments; Toolboxes}	G06V10/94	G06V10/94		1198
G06V10/95	9	{structured as a network, e.g. client-server architectures}	G06V10/94	G06V10/95		3056
G06V10/955	9	{using specific electronic processors}	G06V10/94	G06V10/955		1267
G06V10/96	8	Management of image or video recognition tasks	G06V10/96	G06V10/96		1602
G06V10/98	8	Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns	G06V10/98	G06V10/98		1763
G06V10/987	9	{with the intervention of an operator}	G06V10/98	G06V10/98		616
G06V10/993	9	{Evaluation of the quality of the acquired pattern}	G06V10/98	G06V10/993		2322
G06V20/00	7	Scenes; Scene-specific elements (control of digital cameras H04N23/60)<br><br><u>NOTE</u><br><br>In this group, the following term is used with the meaning indicated:<br>"scene" is a visual representation of the world or of some elements of it, as captured by a sensor or generated by a computer.	G06V20/00	G06V20/00		4464
G06V20/05	8	Underwater scenes	G06V20/05	G06V20/05		1509
G06V20/10	8	Terrestrial scenes (scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59)	G06V20/10	G06V20/10		12798
G06V20/13	9	Satellite images	G06V20/13	G06V20/13		11016
G06V20/17	9	taken from planes or by drones	G06V20/17	G06V20/17		9143
G06V20/176	9	{Urban or other man-made structures}	G06V20/10	G06V20/17		4077
G06V20/182	9	{Network patterns, e.g. roads or rivers}	G06V20/10	G06V20/182		1634
G06V20/188	9	{Vegetation}	G06V20/10	G06V20/188		7452
G06V20/194	9	{using hyperspectral data, i.e. more or other wavelengths than RGB}	G06V20/10	G06V20/194		2989
G06V20/20	8	in augmented reality scenes	G06V20/20	G06V20/20		9556
G06V20/30	8	in albums, collections or shared content, e.g. social network photos or video	G06V20/30	G06V20/30		1300
G06V20/35	8	{Categorising the entire scene, e.g. birthday party or wedding scene}	G06V20/00	G06V20/35		849
G06V20/36	9	{Indoor scenes}	G06V20/00	G06V20/36		849
G06V20/38	9	{Outdoor scenes}	G06V20/00	G06V20/38		454
G06V20/39	10	{Urban scenes}	G06V20/00	G06V20/39		297
G06V20/40	8	in video content (extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44)	G06V20/40	G06V20/40		11400
G06V20/41	9	{Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items (segmenting video sequences G06V20/49)}	G06V20/40	G06V20/41		16280
G06V20/42	10	{of sport video content}	G06V20/40	G06V20/42		2443
G06V20/43	10	{of news video content}	G06V20/40	G06V20/43		48
G06V20/44	9	{Event detection}	G06V20/40	G06V20/44		3421
G06V20/46	9	{Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames}	G06V20/40	G06V20/46		16873
G06V20/47	10	{Detecting features for summarising video content}	G06V20/40	G06V20/47		1111
G06V20/48	9	{Matching video sequences}	G06V20/40	G06V20/48		1819
G06V20/49	9	{Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes}	G06V20/40	G06V20/49		3358
G06V20/50	8	Context or environment of the image	G06V20/50	G06V20/50		2129
G06V20/52	9	Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69)	G06V20/52	G06V20/52		32144
G06V20/53	10	{Recognition of crowd images, e.g. recognition of crowd congestion}	G06V20/52	G06V20/53		4845
G06V20/54	10	of traffic, e.g. cars on the road, trains or boats	G06V20/54	G06V20/54		6530
G06V20/56	9	exterior to a vehicle by using sensors mounted on the vehicle	G06V20/56	G06V20/56		15311
G06V20/58	10	Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads	G06V20/58	G06V20/58		15563
G06V20/582	11	{of traffic signs}	G06V20/58	G06V20/58		2562
G06V20/584	11	{of vehicle lights or traffic lights}	G06V20/58	G06V20/58		4185
G06V20/586	11	{of parking space}	G06V20/58	G06V20/58		1831
G06V20/588	10	{Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road}	G06V20/56	G06V20/58		10407
G06V20/59	9	inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions	G06V20/59	G06V20/59		3413
G06V20/593	10	{Recognising seat occupancy}	G06V20/59	G06V20/59		932
G06V20/597	10	{Recognising the driver&apos;s state or behaviour, e.g. attention or drowsiness}	G06V20/59	G06V20/59		5881
G06V20/60	8	Type of objects	G06V20/60	G06V20/60		2318
G06V20/62	9	Text, e.g. of license plates, overlay texts or captions on TV images	G06V20/62	G06V20/62		4489
G06V20/625	10	{License plates}	G06V20/62	G06V20/62		6298
G06V20/63	10	{Scene text, e.g. street names}	G06V20/62	G06V20/63		3310
G06V20/635	10	{Overlay text, e.g. embedded captions in a TV programme}	G06V20/62	G06V20/635		756
G06V20/64	9	Three-dimensional [3D] objects	G06V20/64	G06V20/64		9766
G06V20/647	10	{by matching two-dimensional images to three-dimensional objects}	G06V20/64	G06V20/64		1630
G06V20/653	10	{by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces}	G06V20/64	G06V20/653		1210
G06V20/66	9	Trinkets, e.g. shirt buttons or jewellery items (recognising microscopic objects G06V20/69)	G06V20/66	G06V20/66		536
G06V20/68	9	Food, e.g. fruit or vegetables	G06V20/68	G06V20/68		3385
G06V20/69	9	Microscopic objects, e.g. biological cells or cellular parts	G06V20/69	G06V20/69		2215
G06V20/693	10	{Acquisition}	G06V20/69	G06V20/69		1336
G06V20/695	10	{Preprocessing, e.g. image segmentation}	G06V20/69	G06V20/69		2928
G06V20/698	10	{Matching; Classification}	G06V20/69	G06V20/69		3367
G06V20/70	8	Labelling scene content, e.g. deriving syntactic or semantic representations	G06V20/70	G06V20/70		10562
G06V20/80	8	Recognising image objects characterised by unique random patterns	G06V20/80	G06V20/80		1132
G06V20/90	8	Identifying an image sensor based on its output data	G06V20/90	G06V20/90		112
G06V20/95	8	{Pattern authentication; Markers therefor; Forgery detection}	G06V20/00	G06V20/95		1115
G06V30/00	7	Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N1/00)<br><br><u>NOTE</u><br><br>This group covers recognition of characters or digital ink, where the characters or the digital ink can include representations in three dimensions [3D], e.g. as written by performing gestures in the air.	G06V30/00	G06V30/00		45
G06V30/10	8	Character recognition	G06V30/10	G06V30/10		11514
G06V30/12	9	Detection or correction of errors, e.g. by rescanning the pattern	G06V30/12	G06V30/12		332
G06V30/127	10	{with the intervention of an operator}	G06V30/12	G06V30/12		169
G06V30/133	10	{Evaluation of quality of the acquired characters}	G06V30/12	G06V30/133		187
G06V30/14	9	Image acquisition	G06V30/14	G06V30/14		450
G06V30/141	10	{using multiple overlapping images; Image stitching}	G06V30/14	G06V30/14		121
G06V30/142	10	using hand-held instruments; Constructional details of the instruments	G06V30/142	G06V30/142		1196
G06V30/1423	11	{the instrument generating sequences of position coordinates corresponding to handwriting (preprocessing or recognising digital ink G06V30/32)}	G06V30/142	G06V30/142		1089
G06V30/1426	11	{by sensing position defining codes on a support}	G06V30/142	G06V30/142		33
G06V30/1429	10	{Identifying or ignoring parts by sensing at different wavelengths}	G06V30/14	G06V30/142		72
G06V30/1431	10	{Illumination control}	G06V30/14	G06V30/14		102
G06V30/1434	10	{Special illumination such as grating, reflections or deflections, e.g. for characters with relief}	G06V30/14	G06V30/14		31
G06V30/1437	10	{Sensor details, e.g. position, configuration or special lenses (G06V30/1429 takes precedence)}	G06V30/14	G06V30/14		75
G06V30/144	10	using a slot moved over the image; using discrete sensing elements at predetermined points; using automatic curve following means	G06V30/144	G06V30/144		239
G06V30/1444	10	{Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields}	G06V30/14	G06V30/144		1789
G06V30/1448	11	{based on markings or identifiers characterising the document or the area}	G06V30/14	G06V30/144		493
G06V30/1452	11	{based on positionally close symbols, e.g. amount sign or URL-specific characters}	G06V30/14	G06V30/14		80
G06V30/1456	11	{based on user interactions}	G06V30/14	G06V30/14		271
G06V30/146	10	Aligning or centring of the image pick-up or image-field	G06V30/146	G06V30/146		508
G06V30/1463	11	{Orientation detection or correction, e.g. rotation of multiples of 90 degrees}	G06V30/146	G06V30/146		357
G06V30/1465	11	{by locating a pattern (G06V30/1475 takes precedence; centring within a document with a marking G06V30/1448)}	G06V30/146	G06V30/146		89
G06V30/1468	12	{Special marks for positioning}	G06V30/146	G06V30/146		28
G06V30/147	11	{Determination of region of interest}	G06V30/146	G06V30/14		1152
G06V30/1473	11	{Recognising objects as potential recognition candidates based on visual cues, e.g. shapes}	G06V30/146	G06V30/14		62
G06V30/1475	11	{Inclination or skew detection or correction of characters or of image to be recognised}	G06V30/146	G06V30/14		341
G06V30/1478	12	{of characters or characters lines}	G06V30/146	G06V30/14		896
G06V30/148	10	Segmentation of character regions	G06V30/148	G06V30/148		1396
G06V30/15	11	{Cutting or merging image elements, e.g. region growing, watershed or clustering-based techniques}	G06V30/148	G06V30/15		864
G06V30/153	11	{using recognition of characters or words}	G06V30/148	G06V30/153		5554
G06V30/155	11	{Removing patterns interfering with the pattern to be recognised, such as ruled lines or underlines}	G06V30/148	G06V30/155		194
G06V30/158	11	{using character size, text spacings or pitch estimation}	G06V30/148	G06V30/158		384
G06V30/16	9	Image preprocessing	G06V30/16	G06V30/16		468
G06V30/1607	10	{Correcting image deformation, e.g. trapezoidal deformation caused by perspective}	G06V30/16	G06V30/16		224
G06V30/1613	10	{Interactive preprocessing or shape modelling, e.g. assignment of feature points by a user}	G06V30/16	G06V30/16		6
G06V30/162	10	Quantising the image signal	G06V30/162	G06V30/162		925
G06V30/164	10	Noise filtering	G06V30/164	G06V30/164		607
G06V30/166	10	Normalisation of pattern dimensions	G06V30/166	G06V30/166		235
G06V30/168	10	Smoothing or thinning of the pattern; Skeletonisation	G06V30/168	G06V30/168		225
G06V30/18	9	Extraction of features or characteristics of the image	G06V30/18	G06V30/18		1491
G06V30/1801	10	{Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections (extracting features by contour coding G06V30/182)}	G06V30/18	G06V30/18		1032
G06V30/18019	11	{by matching or filtering}	G06V30/18	G06V30/18		136
G06V30/18029	12	{filtering with Haar-like subimages, e.g. computation thereof with the integral image technique}	G06V30/18	G06V30/18		7
G06V30/18038	12	{Biologically-inspired filters, e.g. difference of Gaussians [DoG], Gabor filters}	G06V30/18	G06V30/18		8
G06V30/18048	13	{with interaction between the responses of different filters, e.g. cortical complex cells}	G06V30/18	G06V30/18		1
G06V30/18057	14	{Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]}	G06V30/18	G06V30/18		804
G06V30/18067	11	{by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation}	G06V30/18	G06V30/18		64
G06V30/18076	11	{by analysing connectivity, e.g. edge linking, connected component analysis or slices}	G06V30/18	G06V30/18		212
G06V30/18086	10	{by performing operations within image blocks or by using histograms}	G06V30/18	G06V30/18		149
G06V30/18095	11	{Summing image-intensity values; Projection and histogram analysis}	G06V30/18	G06V30/18		106
G06V30/18105	10	{related to colour}	G06V30/18	G06V30/18		344
G06V30/18114	10	{involving specific hyperspectral computations of features}	G06V30/18	G06V30/18		3
G06V30/18124	10	{related to illumination properties, e.g. according to a reflectance or lighting model}	G06V30/18	G06V30/18		36
G06V30/18133	10	{regional/local feature not essentially salient, e.g. local binary pattern}	G06V30/18	G06V30/18		42
G06V30/18143	10	{Extracting features based on salient regional features, e.g. scale invariant feature transform [SIFT] keypoints}	G06V30/18	G06V30/18		162
G06V30/18152	11	{Extracting features based on a plurality of salient regional features, e.g. "bag of words"}	G06V30/18	G06V30/18		31
G06V30/18162	10	{related to a structural representation of the pattern}	G06V30/18	G06V30/18		36
G06V30/18171	11	{Syntactic representation, e.g. using a grammatical approach}	G06V30/18	G06V30/18		17
G06V30/18181	11	{Graphical representation, e.g. directed attributed graph}	G06V30/18	G06V30/18		58
G06V30/1819	10	{sparse representations}	G06V30/18	G06V30/18		8
G06V30/182	10	by coding the contour of the pattern	G06V30/182	G06V30/182		180
G06V30/1823	11	{using vector-coding}	G06V30/182	G06V30/182		104
G06V30/1826	11	{analysing the spectrum of the contour, e.g. Fourier expansion}	G06V30/182	G06V30/182		5
G06V30/1829	11	{using an approximation function}	G06V30/182	G06V30/182		2
G06V30/1831	11	{using gradient analysis}	G06V30/182	G06V30/18		14
G06V30/1834	11	{using statistical shape modelling, e.g. point distribution model}	G06V30/182	G06V30/18		4
G06V30/1837	11	{using wavelet analysis}	G06V30/182	G06V30/18		1
G06V30/184	10	by analysing segments intersecting the pattern	G06V30/184	G06V30/184		96
G06V30/186	10	by deriving mathematical or geometrical properties from the whole image	G06V30/186	G06V30/186		89
G06V30/187	11	{Frequency domain transformation; Autocorrelation}	G06V30/186	G06V30/18		27
G06V30/188	11	{Computation of moments}	G06V30/186	G06V30/18		10
G06V30/189	11	{Scale-space domain transformation, e.g. with wavelet analysis}	G06V30/186	G06V30/18		52
G06V30/19	9	Recognition using electronic means	G06V30/19	G06V30/19		950
G06V30/19007	10	{Matching; Proximity measures}	G06V30/19	G06V30/19		918
G06V30/19013	11	{Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching (specially adapted for image segmentation G06T7/10; specially adapted for the analysis of motion G06T7/20; specially adapted for image alignment G06T7/30; specially adapted for the calculation of depth from stereo images G06T7/50; specially adapted for position determination G06T7/70)}	G06V30/19	G06V30/19		490
G06V30/1902	12	{Shifting or otherwise transforming the patterns to accommodate for positional errors}	G06V30/19	G06V30/19		35
G06V30/19027	13	{Matching of contours}	G06V30/19	G06V30/19		38
G06V30/19033	14	{by mapping curve parameters onto an accumulator array, e.g. generalised Hough Transform}	G06V30/19	G06V30/19		6
G06V30/1904	13	{involving a deformation of the sample or reference pattern; Elastic matching}	G06V30/19	G06V30/19		10
G06V30/19047	14	{based on a local optimisation criterion, e.g. "snakes", i.e. active contour models of the pattern to be recognised}	G06V30/19	G06V30/19		1
G06V30/19053	14	{based on shape statistics, e.g. active shape models of the pattern to be recognised}	G06V30/19	G06V30/19		3
G06V30/1906	15	{based also on statistics of image patches, e.g. active appearance models of the pattern to be recognised}	G06V30/19	G06V30/19		10
G06V30/19067	13	{Matching configurations of points or features, e.g. constellation matching}	G06V30/19	G06V30/19		79
G06V30/19073	11	{Comparing statistics of pixel or of feature values, e.g. histogram matching}	G06V30/19	G06V30/19		49
G06V30/1908	11	{Region based matching}	G06V30/19	G06V30/19		59
G06V30/19087	11	{based on parametric eigenspace representations, e.g. eigenspace representations using pose or illumination parameters; Shape manifold}	G06V30/19	G06V30/19		5
G06V30/19093	11	{Proximity measures, i.e. similarity or distance measures}	G06V30/19	G06V30/19		1168
G06V30/191	10	{Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation}	G06V30/19	G06V30/19		246
G06V30/19107	11	{Clustering techniques}	G06V30/19	G06V30/19		429
G06V30/19113	11	{Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system}	G06V30/19	G06V30/19		79
G06V30/1912	11	{Selecting the most significant subset of features (G06V30/19127 takes precedence)}	G06V30/19	G06V30/19		75
G06V30/19127	11	{Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods}	G06V30/19	G06V30/19		230
G06V30/19133	11	{Interactive pattern learning with a human teacher}	G06V30/19	G06V30/19		47
G06V30/1914	11	{Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries, e.g. user dictionaries}	G06V30/19	G06V30/19		169
G06V30/19147	11	{Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting}	G06V30/19	G06V30/19		2387
G06V30/19153	11	{using rules for classification or partitioning the feature space}	G06V30/19	G06V30/19		118
G06V30/1916	11	{Validation; Performance evaluation}	G06V30/19	G06V30/19		397
G06V30/19167	11	{Active pattern learning}	G06V30/19	G06V30/19		134
G06V30/19173	11	{Classification techniques}	G06V30/19	G06V30/19		3876
G06V30/1918	11	{Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion}	G06V30/19	G06V30/19		1299
G06V30/19187	11	{Graphical models, e.g. Bayesian networks or Markov models}	G06V30/19	G06V30/19		65
G06V30/19193	10	{Statistical pre-processing, e.g. techniques for normalisation or restoring missing data}	G06V30/19	G06V30/19		26
G06V30/192	10	using simultaneous comparisons or correlations of the image signals with a plurality of references	G06V30/192	G06V30/192		69
G06V30/194	11	References adjustable by an adaptive method, e.g. learning	G06V30/194	G06V30/194		1067
G06V30/195	11	{using a resistor matrix}	G06V30/192	G06V30/19		49
G06V30/196	10	using sequential comparisons of the image signals with a plurality of references	G06V30/196	G06V30/196		88
G06V30/198	11	the selection of the next reference depending on the result of the preceding comparison	G06V30/198	G06V30/198		3
G06V30/1983	11	{Syntactic or structural pattern recognition, e.g. symbolic string recognition}	G06V30/196	G06V30/198		164
G06V30/1985	12	{Syntactic analysis, e.g. using a grammatical approach (syntactic image representation G06V30/18171)}	G06V30/196	G06V30/198		67
G06V30/1988	12	{Graph matching (graphical image representation G06V30/18181)}	G06V30/196	G06V30/198		132
G06V30/199	9	Arrangements for recognition using optical reference masks, e.g. holographic masks	G06V30/199	G06V30/199		19
G06V30/20	9	Combination of acquisition, preprocessing or recognition functions	G06V30/20	G06V30/20		118
G06V30/22	9	characterised by the type of writing	G06V30/22	G06V30/22		294
G06V30/222	10	of characters separated by spaces	G06V30/222	G06V30/222		16
G06V30/224	10	of printed characters having additional code marks or containing code marks	G06V30/224	G06V30/224		1742
G06V30/2247	11	{Characters composed of bars, e.g. CMC-7}	G06V30/224	G06V30/224		638
G06V30/2253	11	{Recognition of characters printed with magnetic ink (G06V30/2247 takes precedence)}	G06V30/224	G06V30/22		402
G06V30/226	10	of cursive writing	G06V30/226	G06V30/226		402
G06V30/2264	11	{using word shape}	G06V30/226	G06V30/226		63
G06V30/2268	11	{using stroke segmentation}	G06V30/226	G06V30/226		148
G06V30/2272	12	{with lexical matching}	G06V30/226	G06V30/22		86
G06V30/2276	12	{with probabilistic networks, e.g. hidden Markov models}	G06V30/226	G06V30/22		60
G06V30/228	10	of three-dimensional [3D] handwriting, e.g. writing in the air	G06V30/228	G06V30/228		150
G06V30/24	9	characterised by the processing or recognition method (segmentation of character regions G06V30/148)	G06V30/24	G06V30/24		220
G06V30/242	10	Division of the character sequences into groups prior to recognition; Selection of dictionaries	G06V30/242	G06V30/242		391
G06V30/244	11	using graphical properties, e.g. alphabet type or font	G06V30/244	G06V30/244		190
G06V30/2445	12	{Alphabet recognition, e.g. Latin, Kanji or Katakana}	G06V30/244	G06V30/244		94
G06V30/245	12	{Font recognition}	G06V30/244	G06V30/24		275
G06V30/2455	12	{Discrimination between machine-print, hand-print and cursive writing}	G06V30/244	G06V30/24		185
G06V30/246	11	using linguistic properties, e.g. specific for English or German language	G06V30/246	G06V30/246		81
G06V30/248	10	{involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q" (G06V30/242 takes precedence)}	G06V30/24	G06V30/24		332
G06V30/2504	11	{Coarse or fine approaches, e.g. resolution of ambiguities or multiscale approaches}	G06V30/24	G06V30/2504		488
G06V30/2528	11	{Combination of methods, e.g. classifiers, working on the same input data}	G06V30/24	G06V30/2528		64
G06V30/2552	11	{Combination of methods, e.g. classifiers, working on different input data, e.g. sensor fusion}	G06V30/24	G06V30/2552		36
G06V30/26	9	Techniques for post-processing, e.g. correcting the recognition result	G06V30/26	G06V30/26		304
G06V30/262	10	using context analysis, e.g. lexical, syntactic or semantic context	G06V30/262	G06V30/262		444
G06V30/268	11	{Lexical context}	G06V30/262	G06V30/26		324
G06V30/274	11	{Syntactic or semantic context, e.g. balancing}	G06V30/262	G06V30/274		702
G06V30/28	9	specially adapted to the type of the alphabet, e.g. Latin alphabet	G06V30/28	G06V30/28		29
G06V30/287	10	{of Kanji, Hiragana or Katakana characters}	G06V30/28	G06V30/28		531
G06V30/293	10	{of characters other than Kanji, Hiragana or Katakana}	G06V30/28	G06V30/293		164
G06V30/30	9	based on the type of data	G06V30/30	G06V30/30		138
G06V30/302	10	Images containing characters for discriminating human versus automated computer access	G06V30/302	G06V30/302		23
G06V30/304	10	Music notations	G06V30/304	G06V30/304		130
G06V30/32	9	Digital ink	G06V30/32	G06V30/32		989
G06V30/333	10	{Preprocessing; Feature extraction}	G06V30/32	G06V30/333		433
G06V30/347	11	{Sampling; Contour coding; Stroke extraction}	G06V30/32	G06V30/347		666
G06V30/36	10	{Matching; Classification}	G06V30/32	G06V30/36		700
G06V30/373	11	{using a special pattern or subpattern alphabet}	G06V30/32	G06V30/373		196
G06V30/387	11	{using human interaction, e.g. selection of the best displayed recognition candidate}	G06V30/32	G06V30/387		212
G06V30/40	8	Document-oriented image-based pattern recognition	G06V30/40	G06V30/40		3333
G06V30/41	9	Analysis of document content (recognition of printed characters based on code marks G06V30/224)	G06V30/41	G06V30/41		1668
G06V30/412	10	Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables	G06V30/412	G06V30/412		2706
G06V30/413	10	Classification of content, e.g. text, photographs or tables	G06V30/413	G06V30/413		4158
G06V30/414	10	Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text	G06V30/414	G06V30/414		3137
G06V30/416	10	Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors	G06V30/416	G06V30/416		1772
G06V30/418	10	Document matching, e.g. of document images	G06V30/418	G06V30/418		1393
G06V30/42	9	based on the type of document	G06V30/42	G06V30/42		1178
G06V30/422	10	Technical drawings; Geographical maps	G06V30/422	G06V30/422		1908
G06V30/424	10	Postal images, e.g. labels or addresses on parcels or postal envelopes	G06V30/424	G06V30/424		245
G06V30/43	9	{Editing text-bitmaps, e.g. alignment, spacing; Semantic analysis of bitmaps of text without OCR}	G06V30/40	G06V30/43		168
G06V40/00	7	Recognition of biometric, human-related or animal-related patterns in image or video data	G06V40/00	G06V40/00		177
G06V40/10	8	Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands	G06V40/10	G06V40/10		19039
G06V40/103	9	{Static body considered as a whole, e.g. static pedestrian or occupant recognition}	G06V40/10	G06V40/10		7791
G06V40/107	9	{Static hand or arm}	G06V40/10	G06V40/10		1978
G06V40/11	10	{Hand-related biometrics; Hand pose recognition}	G06V40/10	G06V40/11		776
G06V40/113	10	{Recognition of static hand signs}	G06V40/10	G06V40/113		1239
G06V40/117	10	{Biometrics derived from hands}	G06V40/10	G06V40/117		365
G06V40/12	9	Fingerprints or palmprints	G06V40/12	G06V40/12		3977
G06V40/13	10	Sensors therefor	G06V40/13	G06V40/13		4070
G06V40/1306	11	{non-optical, e.g. ultrasonic or capacitive sensing}	G06V40/13	G06V40/13		4363
G06V40/1312	11	{direct reading, e.g. contactless acquisition}	G06V40/13	G06V40/13		613
G06V40/1318	11	{using electro-optical elements or layers, e.g. electroluminescent sensing}	G06V40/13	G06V40/13		5010
G06V40/1324	11	{by using geometrical optics, e.g. using prisms (G06V40/1312 takes precedence)}	G06V40/13	G06V40/13		1863
G06V40/1329	11	{Protecting the fingerprint sensor against damage caused by the finger}	G06V40/13	G06V40/13		899
G06V40/1335	10	{Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement}	G06V40/12	G06V40/13		749
G06V40/1341	10	{Sensing with light passing through the finger}	G06V40/12	G06V40/13		398
G06V40/1347	10	{Preprocessing; Feature extraction}	G06V40/12	G06V40/13		2511
G06V40/1353	11	{Extracting features related to minutiae or pores}	G06V40/12	G06V40/13		310
G06V40/1359	11	{Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop}	G06V40/12	G06V40/13		830
G06V40/1365	10	{Matching; Classification}	G06V40/12	G06V40/13		5641
G06V40/1371	11	{Matching features related to minutiae or pores}	G06V40/12	G06V40/13		265
G06V40/1376	11	{Matching features related to ridge properties or fingerprint texture}	G06V40/12	G06V40/13		476
G06V40/1382	10	{Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger}	G06V40/12	G06V40/13		414
G06V40/1388	11	{using image processing}	G06V40/12	G06V40/13		318
G06V40/1394	11	{using acquisition arrangements}	G06V40/12	G06V40/13		427
G06V40/14	9	Vascular patterns	G06V40/14	G06V40/14		2167
G06V40/145	10	Sensors therefor	G06V40/145	G06V40/145		333
G06V40/15	9	{Biometric patterns based on physiological signals, e.g. heartbeat, blood flow}	G06V40/10	G06V40/15		1226
G06V40/155	9	{use of biometric patterns for forensic purposes}	G06V40/10	G06V40/155		69
G06V40/16	9	Human faces, e.g. facial parts, sketches or expressions	G06V40/16	G06V40/16		11055
G06V40/161	10	{Detection; Localisation; Normalisation}	G06V40/16	G06V40/16		15265
G06V40/162	11	{using pixel segmentation or colour matching}	G06V40/16	G06V40/16		1125
G06V40/164	11	{using holistic features}	G06V40/16	G06V40/16		382
G06V40/165	11	{using facial parts and geometric relationships}	G06V40/16	G06V40/16		3186
G06V40/166	11	{using acquisition arrangements}	G06V40/16	G06V40/16		6586
G06V40/167	11	{using comparisons between temporally consecutive images}	G06V40/16	G06V40/16		765
G06V40/168	10	{Feature extraction; Face representation}	G06V40/16	G06V40/16		16684
G06V40/169	11	{Holistic features and representations, i.e. based on the facial image taken as a whole}	G06V40/16	G06V40/16		1117
G06V40/171	11	{Local features and components; Facial parts (eye characteristics G06V40/18); Occluding parts, e.g. glasses; Geometrical relationships}	G06V40/16	G06V40/171		7833
G06V40/172	10	{Classification, e.g. identification}	G06V40/16	G06V40/172		22330
G06V40/173	11	{face re-identification, e.g. recognising unknown faces across different face tracks}	G06V40/16	G06V40/173		893
G06V40/174	10	{Facial expression recognition}	G06V40/16	G06V40/174		8304
G06V40/175	11	{Static expression}	G06V40/16	G06V40/175		604
G06V40/176	11	{Dynamic expression}	G06V40/16	G06V40/176		1676
G06V40/178	10	{estimating age from face image; using age information for improving recognition}	G06V40/16	G06V40/178		1455
G06V40/179	10	{metadata assisted face recognition}	G06V40/16	G06V40/179		374
G06V40/18	9	Eye characteristics, e.g. of the iris	G06V40/18	G06V40/18		5503
G06V40/19	10	Sensors therefor	G06V40/19	G06V40/19		4378
G06V40/193	10	{Preprocessing; Feature extraction}	G06V40/18	G06V40/19		4281
G06V40/197	10	{Matching; Classification}	G06V40/18	G06V40/19		2608
G06V40/20	8	Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V40/16)	G06V40/20	G06V40/20		19617
G06V40/23	9	{Recognition of whole body movements, e.g. for sport training}	G06V40/20	G06V40/23		5377
G06V40/25	10	{Recognition of walking or running movements, e.g. gait recognition}	G06V40/20	G06V40/25		1773
G06V40/28	9	{Recognition of hand or arm movements, e.g. recognition of deaf sign language (static hand signs G06V40/113)}	G06V40/20	G06V40/28		7694
G06V40/30	8	Writer recognition; Reading and verifying signatures	G06V40/30	G06V40/30		643
G06V40/33	9	{based only on signature image, e.g. static signature recognition}	G06V40/30	G06V40/33		334
G06V40/37	9	{based only on signature signals such as velocity or pressure, e.g. dynamic signature recognition}	G06V40/30	G06V40/37		89
G06V40/376	10	{Acquisition}	G06V40/30	G06V40/376		78
G06V40/382	10	{Preprocessing; Feature extraction}	G06V40/30	G06V40/382		104
G06V40/388	11	{Sampling; Contour coding; Stroke extraction}	G06V40/30	G06V40/388		58
G06V40/394	10	{Matching; Classification}	G06V40/30	G06V40/394		127
G06V40/40	8	Spoof detection, e.g. liveness detection	G06V40/40	G06V40/40		1764
G06V40/45	9	{Detection of the body part being alive}	G06V40/40	G06V40/45		2909
G06V40/50	8	Maintenance of biometric data or enrolment thereof	G06V40/50	G06V40/50		1566
G06V40/53	9	{Measures to keep reference information secret, e.g. cancellable biometrics}	G06V40/50	G06V40/53		326
G06V40/55	9	{Performing matching on a personal external card, e.g. to avoid submitting reference information}	G06V40/50	G06V40/55		70
G06V40/58	9	{Solutions for unknown imposter distribution}	G06V40/50	G06V40/58		19
G06V40/60	8	Static or dynamic means for assisting the user to position a body part for biometric acquisition	G06V40/60	G06V40/60		84
G06V40/63	9	{by static guides}	G06V40/60	G06V40/63		225
G06V40/67	9	{by interactive indications to the user}	G06V40/60	G06V40/67		791
G06V40/70	8	Multimodal biometrics, e.g. combining information from different biometric modalities	G06V40/70	G06V40/70		2828
G06V2201/00	7	Indexing scheme relating to image or video recognition or understanding	CPCONLY	G06V2201/00		19
G06V2201/01	8	Solutions for problems related to non-uniform document background	CPCONLY	G06V2201/01		74
G06V2201/02	8	Recognising information on displays, dials, clocks	CPCONLY	G06V2201/02		1624
G06V2201/03	8	Recognition of patterns in medical or anatomical images	CPCONLY	G06V2201/03		7297
G06V2201/031	9	of internal organs	CPCONLY	G06V2201/031		1314
G06V2201/032	9	of protuberances, polyps nodules, etc.	CPCONLY	G06V2201/032		775
G06V2201/033	9	of skeletal patterns	CPCONLY	G06V2201/033		612
G06V2201/034	9	of medical instruments	CPCONLY	G06V2201/034		493
G06V2201/04	8	Recognition of patterns in DNA microarrays	CPCONLY	G06V2201/04		118
G06V2201/05	8	Recognition of patterns representing particular kinds of hidden objects, e.g. weapons, explosives, drugs	CPCONLY	G06V2201/05		409
G06V2201/06	8	Recognition of objects for industrial automation	CPCONLY	G06V2201/06		4145
G06V2201/07	8	Target detection	CPCONLY	G06V2201/07		25302
G06V2201/08	8	Detecting or categorising vehicles	CPCONLY	G06V2201/08		6471
G06V2201/09	8	Recognition of logos	CPCONLY	G06V2201/09		780
G06V2201/10	8	Recognition assisted with metadata	CPCONLY	G06V2201/10		1585
G06V2201/11	8	Technique with transformation invariance effect	CPCONLY	G06V2201/11		61
G06V2201/12	8	Acquisition of 3D measurements of objects	CPCONLY	G06V2201/12		810
G06V2201/121	9	using special illumination	CPCONLY	G06V2201/121		173
G06V2201/122	9	Computational image acquisition in electron microscopy	CPCONLY	G06V2201/122		39
G06V2201/13	8	Type of disclosure document	CPCONLY	G06V2201/13		19
G06V2201/131	9	Book	CPCONLY	G06V2201/131		60
G06V2201/132	9	Book chapter	CPCONLY	G06V2201/132		4
G06V2201/133	9	Survey article	CPCONLY	G06V2201/133		5
G06V2201/134	9	Technical report or standard	CPCONLY	G06V2201/134		7
G06V2201/135	9	Master, PhD or other thesis	CPCONLY	G06V2201/135		8
G06V2201/136	9	Tutorial	CPCONLY	G06V2201/136		3
