1. CPC Sections
  2. CPC Section G
  3. CPC Class G06
  4. CPC Subclass G06V
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CPC
COOPERATIVE PATENT CLASSIFICATION
​
G06V
IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING [2023-08]
NOTES

  • This subclass covers:
    • methods or arrangements for pattern recognition or machine learning specially adapted for images or video.
  • In this subclass, the following terms or expressions are used with the meaning indicated:
    • "pattern recognition" means detection, categorisation, authentication and identification of patterns for explanatory purposes or to derive a certain meaning in images or video, by acquiring, preprocessing or extracting distinctive features and matching, clustering or classifying these features or representations thereof;
    • "feature extraction" means deriving descriptive or quantitative measures from images or video;
    • "clustering" means grouping or separating patterns according to their closeness or dissimilarity;
    • "classification" means the identification of an object/feature as belonging to a class of objects/features by assigning of a label.
  • In this subclass, subject matter classified in groups G06V 20/00 - G06V 40/00 is also classified in groups G06V 10/10 or G06V 10/20 respectively, if recognition relies on specific processing at the stages of acquisition or preprocessing.
G06V 10/00
Arrangements for image or video recognition or understanding (character recognition in images or video G06V 30/10) [2023-08]
G06V 10/10
.
Image acquisition (document image scanning and transmission H04N 1/00; control of digital cameras H04N 23/60) [2023-08]
G06V 10/12
. .
Details of acquisition arrangements; Constructional details thereof [2023-08]
G06V 10/14
. . .
Optical characteristics of the device performing the acquisition or on the illumination arrangements [2023-08]
G06V 10/141
. . . .
Control of illumination [2023-08]
G06V 10/143
. . . .
Sensing or illuminating at different wavelengths [2023-08]
G06V 10/145
. . . .
Illumination specially adapted for pattern recognition, e.g. using gratings [2023-08]
G06V 10/147
. . . .
Details of sensors, e.g. sensor lenses (fingerprint or palmprint sensors G06V 40/13; vascular sensors G06V 40/145; eye sensors G06V 40/19) [2023-08]
G06V 10/16
. .
{using multiple overlapping images; Image stitching} [2023-08]
G06V 10/17
. .
{using hand-held instruments} [2023-08]
G06V 10/19
. .
{by sensing codes defining pattern positions} [2023-08]
G06V 10/20
.
Image preprocessing [2023-08]
G06V 10/22
. .
by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition [2023-08]
G06V 10/225
. . .
{based on a marking or identifier characterising the area} [2023-08]
G06V 10/23
. . .
{based on positionally close patterns or neighbourhood relationships} [2023-08]
G06V 10/235
. . .
{based on user input or interaction} [2023-08]
G06V 10/24
. .
Aligning, centring, orientation detection or correction of the image [2023-08]
G06V 10/242
. . .
{by image rotation, e.g. by 90 degrees} [2023-08]
G06V 10/243
. . .
{by compensating for image skew or non-uniform image deformations} [2023-08]
G06V 10/245
. . .
{by locating a pattern; Special marks for positioning} [2023-08]
G06V 10/247
. . .
{by affine transforms, e.g. correction due to perspective effects; Quadrilaterals, e.g. trapezoids} [2023-08]
G06V 10/248
. . .
{by interactive preprocessing or interactive shape modelling, e.g. feature points assigned by a user} [2023-08]
G06V 10/25
. .
Determination of region of interest [ROI] or a volume of interest [VOI] [2023-08]
G06V 10/255
. .
{Detecting or recognising potential candidate objects based on visual cues, e.g. shapes} [2023-08]
G06V 10/26
. .
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 [2023-08]
G06V 10/267
. . .
{by performing operations on regions, e.g. growing, shrinking or watersheds} [2023-08]
G06V 10/273
. . .
{removing elements interfering with the pattern to be recognised} [2023-08]
G06V 10/28
. .
Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns [2023-08]
G06V 10/30
. .
Noise filtering [2023-08]
G06V 10/32
. .
Normalisation of the pattern dimensions [2023-08]
G06V 10/34
. .
Smoothing or thinning of the pattern; Morphological operations; Skeletonisation [2023-08]
G06V 10/36
. .
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 [2023-08]
G06V 10/40
.
Extraction of image or video features [2023-08]
G06V 10/42
. .
Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation [2023-08]
G06V 10/421
. . .
{by analysing segments intersecting the pattern} [2023-08]
G06V 10/422
. . .
for representing the structure of the pattern or shape of an object therefor [2023-08]
G06V 10/424
. . . .
Syntactic representation, e.g. by using alphabets or grammars [2023-08]
G06V 10/426
. . . .
Graphical representations [2023-08]
G06V 10/431
. . .
{Frequency domain transformation; Autocorrelation} [2023-08]
G06V 10/435
. . .
{Computation of moments} [2023-08]
G06V 10/44
. .
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 [2023-08]
G06V 10/443
. . .
{by matching or filtering} [2023-08]
G06V 10/446
. . . .
{using Haar-like filters, e.g. using integral image techniques} [2023-08]
G06V 10/449
. . . .
{Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters} [2023-08]
G06V 10/451
. . . . .
{with interaction between the filter responses, e.g. cortical complex cells} [2023-08]
G06V 10/454
. . . . . .
{Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]} [2023-08]
G06V 10/457
. . .
{by analysing connectivity, e.g. edge linking, connected component analysis or slices} [2023-08]
G06V 10/46
. .
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 G06V 10/56) [2023-08]
G06V 10/462
. . .
{Salient features, e.g. scale invariant feature transforms [SIFT]} [2023-08]
G06V 10/464
. . . .
{using a plurality of salient features, e.g. bag-of-words [BoW] representations} [2023-08]
G06V 10/467
. . .
{Encoded features or binary features, e.g. local binary patterns [LBP]} [2023-08]
G06V 10/469
. . .
{Contour-based spatial representations, e.g. vector-coding} [2023-08]
G06V 10/471
. . . .
{using approximation functions} [2023-08]
G06V 10/473
. . . .
{using gradient analysis} [2023-08]
G06V 10/476
. . . .
{using statistical shape modelling, e.g. point distribution models} [2023-08]
G06V 10/478
. . .
{Contour-based spectral representations or scale-space representations, e.g. by Fourier analysis, wavelet analysis or curvature scale-space [CSS]} [2023-08]
G06V 10/48
. .
by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation [2023-08]
G06V 10/50
. .
by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis [2023-08]
G06V 10/507
. . .
{Summing image-intensity values; Histogram projection analysis} [2023-08]
G06V 10/513
. .
{Sparse representations} [2023-08]
G06V 10/52
. .
Scale-space analysis, e.g. wavelet analysis (multi-scale boundary representations G06V 10/42) [2023-08]
G06V 10/54
. .
relating to texture [2023-08]
G06V 10/56
. .
relating to colour [2023-08]
G06V 10/58
. .
relating to hyperspectral data [2023-08]
G06V 10/60
. .
relating to illumination properties, e.g. using a reflectance or lighting model [2023-08]
G06V 10/62
. .
relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking [2023-08]
G06V 10/70
.
using pattern recognition or machine learning (optical pattern recognition or electronic computations therefor G06V 10/88) [2023-08]
G06V 10/72
. .
Data preparation, e.g. statistical preprocessing of image or video features [2023-08]
G06V 10/74
. .
Image or video pattern matching; Proximity measures in feature spaces [2022-01]
G06V 10/75
. . .
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 [2023-08]
G06V 10/751
. . . .
{Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching} [2023-08]
G06V 10/7515
. . . . .
{Shifting the patterns to accommodate for positional errors} [2023-08]
G06V 10/752
. . . .
{Contour matching} [2023-08]
G06V 10/753
. . . .
{Transform-based matching, e.g. Hough transform} [2023-08]
G06V 10/754
. . . .
{involving a deformation of the sample pattern or of the reference pattern; Elastic matching} [2023-08]
G06V 10/755
. . . .
{Deformable models or variational models, e.g. snakes or active contours} [2023-08]
G06V 10/7553
. . . . .
{based on shape, e.g. active shape models [ASM]} [2023-08]
G06V 10/7557
. . . . .
{based on appearance, e.g. active appearance models [AAM]} [2023-08]
G06V 10/757
. . . .
{Matching configurations of points or features} [2023-08]
G06V 10/758
. . . .
{Involving statistics of pixels or of feature values, e.g. histogram matching} [2023-08]
G06V 10/759
. . . .
{Region-based matching} [2023-08]
G06V 10/76
. . . .
{based on eigen-space representations, e.g. from pose or different illumination conditions; Shape manifolds} [2023-08]
G06V 10/761
. . .
{Proximity, similarity or dissimilarity measures} [2023-08]
G06V 10/762
. .
using clustering, e.g. of similar faces in social networks [2023-08]
G06V 10/7625
. . .
{Hierarchical techniques, i.e. dividing or merging patterns to obtain a tree-like representation; Dendograms} [2023-08]
G06V 10/763
. . .
{Non-hierarchical techniques, e.g. based on statistics of modelling distributions} [2023-08]
G06V 10/7635
. . .
{based on graphs, e.g. graph cuts or spectral clustering} [2023-08]
G06V 10/764
. .
using classification, e.g. of video objects [2023-08]
G06V 10/765
. . .
{using rules for classification or partitioning the feature space} [2023-08]
G06V 10/766
. .
using regression, e.g. by projecting features on hyperplanes [2022-01]
G06V 10/768
. .
{using context analysis, e.g. recognition aided by known co-occurring patterns} [2023-08]
G06V 10/77
. .
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 [2022-01]
G06V 10/771
. . .
Feature selection, e.g. selecting representative features from a multi-dimensional feature space [2023-08]
G06V 10/7715
. . .
{Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods} [2023-08]
G06V 10/772
. . .
Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries [2023-08]
G06V 10/774
. . .
Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting [2023-08]
G06V 10/7747
. . . .
{Organisation of the process, e.g. bagging or boosting} [2023-08]
G06V 10/7753
. . . .
{Incorporation of unlabelled data, e.g. multiple instance learning [MIL]} [2023-08]
G06V 10/776
. . .
Validation; Performance evaluation [2023-08]
G06V 10/778
. . .
Active pattern-learning, e.g. online learning of image or video features [2023-08]
G06V 10/7784
. . . .
{based on feedback from supervisors} [2023-08]
G06V 10/7788
. . . . .
{the supervisor being a human, e.g. interactive learning with a human teacher} [2023-08]
G06V 10/7792
. . . . .
{the supervisor being an automated module, e.g. "intelligent oracle"} [2022-01]
G06V 10/7796
. . . .
{based on specific statistical tests} [2023-08]
G06V 10/80
. . .
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 G10L 17/10) [2023-08]
G06V 10/803
. . . .
{of input or preprocessed data} [2023-08]
G06V 10/806
. . . .
{of extracted features} [2023-08]
G06V 10/809
. . . .
{of classification results, e.g. where the classifiers operate on the same input data} [2023-08]
G06V 10/811
. . . . .
{the classifiers operating on different input data, e.g. multi-modal recognition} [2023-08]
G06V 10/814
. . . .
{using belief theory, e.g. Dempster-Shafer} [2023-08]
G06V 10/817
. . . .
{by voting} [2023-08]
G06V 10/82
. .
using neural networks [2022-01]
G06V 10/84
. .
using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks [2023-08]
G06V 10/85
. . .
{Markov-related models; Markov random fields} [2023-08]
G06V 10/86
. .
using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognition; using graph matching [2022-01]
G06V 10/87
. .
{using selection of the recognition techniques, e.g. of a classifier in a multiple classifier system} [2023-08]
G06V 10/88
.
Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters [2023-08]
G06V 10/89
. .
{using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators} [2023-08]
G06V 10/893
. . .
{characterised by the kind of filter} [2023-08]
G06V 10/895
. . . .
{the filter being related to phase processing, e.g. phase-only filters} [2023-08]
G06V 10/898
. . . .
{combination of filters, e.g. phase-only filters} [2023-08]
G06V 10/92
. .
{using spatial domain filters, e.g. joint transform correlators} [2023-08]
G06V 10/94
.
Hardware or software architectures specially adapted for image or video understanding [2023-08]
G06V 10/945
. .
{User interactive design; Environments; Toolboxes} [2023-08]
G06V 10/95
. .
{structured as a network, e.g. client-server architectures} [2022-01]
G06V 10/955
. .
{using specific electronic processors} [2022-01]
G06V 10/96
.
Management of image or video recognition tasks [2023-08]
G06V 10/98
.
Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns [2023-08]
G06V 10/987
. .
{with the intervention of an operator} [2023-08]
G06V 10/993
. .
{Evaluation of the quality of the acquired pattern} [2023-08]
​
G06V 20/00
Scenes; Scene-specific elements (control of digital cameras H04N 23/60) [2023-08]
NOTE

  • In this group, the following term is used with the meaning indicated:
    • "scene" is a visual representation of the world or of some elements of it, as captured by a sensor or generated by a computer.
G06V 20/05
.
Underwater scenes [2023-08]
G06V 20/10
.
Terrestrial scenes (scenes under surveillance with static cameras G06V 20/52; scenes perceived from the exterior of a vehicle G06V 20/56; scenes perceived from the interior of a vehicle G06V 20/59) [2023-08]
G06V 20/13
. .
Satellite images [2023-08]
G06V 20/17
. .
taken from planes or by drones [2023-08]
G06V 20/176
. .
{Urban or other man-made structures} [2022-01]
G06V 20/182
. .
{Network patterns, e.g. roads or rivers} [2022-01]
G06V 20/188
. .
{Vegetation} [2022-01]
G06V 20/194
. .
{using hyperspectral data, i.e. more or other wavelengths than RGB} [2022-01]
G06V 20/20
.
in augmented reality scenes [2023-08]
G06V 20/30
.
in albums, collections or shared content, e.g. social network photos or video [2023-08]
G06V 20/35
.
{Categorising the entire scene, e.g. birthday party or wedding scene} [2023-08]
G06V 20/36
. .
{Indoor scenes} [2022-01]
G06V 20/38
. .
{Outdoor scenes} [2022-01]
G06V 20/39
. . .
{Urban scenes} [2022-01]
G06V 20/40
.
in video content (extracting overlay text G06V 20/62; video retrieval G06F 16/70; processing of video elementary streams in video servers H04N 21/234; processing of video elementary streams in video clients H04N 21/44) [2023-08]
G06V 20/41
. .
{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 G06V 20/49)} [2022-01]
G06V 20/42
. . .
{of sport video content} [2022-01]
G06V 20/43
. . .
{of news video content} [2022-01]
G06V 20/44
. .
{Event detection} [2022-01]
G06V 20/46
. .
{Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames} [2022-01]
G06V 20/47
. . .
{Detecting features for summarising video content} [2022-01]
G06V 20/48
. .
{Matching video sequences} [2022-01]
G06V 20/49
. .
{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} [2022-01]
G06V 20/50
.
Context or environment of the image [2023-08]
G06V 20/52
. .
Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V 20/69) [2023-08]
G06V 20/53
. . .
{Recognition of crowd images, e.g. recognition of crowd congestion} [2022-01]
G06V 20/54
. . .
of traffic, e.g. cars on the road, trains or boats [2022-01]
G06V 20/56
. .
exterior to a vehicle by using sensors mounted on the vehicle [2023-08]
G06V 20/58
. . .
Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads [2022-01]
G06V 20/582
. . . .
{of traffic signs} [2022-01]
G06V 20/584
. . . .
{of vehicle lights or traffic lights} [2022-01]
G06V 20/586
. . . .
{of parking space} [2022-01]
G06V 20/588
. . .
{Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road} [2022-01]
G06V 20/59
. .
inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions [2023-08]
G06V 20/593
. . .
{Recognising seat occupancy} [2022-01]
G06V 20/597
. . .
{Recognising the driver's state or behaviour, e.g. attention or drowsiness} [2022-01]
G06V 20/60
.
Type of objects [2023-08]
G06V 20/62
. .
Text, e.g. of license plates, overlay texts or captions on TV images [2023-08]
G06V 20/625
. . .
{License plates} [2022-01]
G06V 20/63
. . .
{Scene text, e.g. street names} [2022-01]
G06V 20/635
. . .
{Overlay text, e.g. embedded captions in a TV programme} [2026-01]
G06V 20/64
. .
Three-dimensional [3D] objects [2026-01]
G06V 20/647
. . .
{by matching two-dimensional images to three-dimensional objects} [2022-01]
G06V 20/653
. . .
{by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces} [2022-01]
G06V 20/66
. .
Trinkets, e.g. shirt buttons or jewellery items (recognising microscopic objects G06V 20/69) [2022-01]
G06V 20/68
. .
Food, e.g. fruit or vegetables [2023-08]
G06V 20/69
. .
Microscopic objects, e.g. biological cells or cellular parts [2022-01]
G06V 20/693
. . .
{Acquisition} [2022-01]
G06V 20/695
. . .
{Preprocessing, e.g. image segmentation} [2022-01]
G06V 20/698
. . .
{Matching; Classification} [2022-01]
G06V 20/70
.
Labelling scene content, e.g. deriving syntactic or semantic representations [2023-08]
G06V 20/80
.
Recognising image objects characterised by unique random patterns [2023-08]
G06V 20/90
.
Identifying an image sensor based on its output data [2023-08]
G06V 20/95
.
{Pattern authentication; Markers therefor; Forgery detection} [2022-01]
​
G06V 30/00
Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N 1/00) [2026-01]
NOTE

  • 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.
G06V 30/10
.
Character recognition [2023-08]
G06V 30/12
. .
Detection or correction of errors, e.g. by rescanning the pattern [2023-08]
G06V 30/127
. . .
{with the intervention of an operator} [2023-08]
G06V 30/133
. . .
{Evaluation of quality of the acquired characters} [2023-08]
G06V 30/14
. .
Image acquisition [2023-08]
G06V 30/141
. . .
{using multiple overlapping images; Image stitching} [2023-08]
G06V 30/142
. . .
using hand-held instruments; Constructional details of the instruments [2023-08]
G06V 30/1423
. . . .
{the instrument generating sequences of position coordinates corresponding to handwriting (preprocessing or recognising digital ink G06V 30/32)} [2022-01]
G06V 30/1426
. . . .
{by sensing position defining codes on a support} [2023-08]
G06V 30/1429
. . .
{Identifying or ignoring parts by sensing at different wavelengths} [2023-08]
G06V 30/1431
. . .
{Illumination control} [2023-08]
G06V 30/1434
. . .
{Special illumination such as grating, reflections or deflections, e.g. for characters with relief} [2023-08]
G06V 30/1437
. . .
{Sensor details, e.g. position, configuration or special lenses (G06V 30/1429 takes precedence)} [2023-08]
G06V 30/144
. . .
using a slot moved over the image; using discrete sensing elements at predetermined points; using automatic curve following means [2022-01]
G06V 30/1444
. . .
{Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields} [2023-08]
G06V 30/1448
. . . .
{based on markings or identifiers characterising the document or the area} [2023-08]
G06V 30/1452
. . . .
{based on positionally close symbols, e.g. amount sign or URL-specific characters} [2023-08]
G06V 30/1456
. . . .
{based on user interactions} [2023-08]
G06V 30/146
. . .
Aligning or centring of the image pick-up or image-field [2023-08]
G06V 30/1463
. . . .
{Orientation detection or correction, e.g. rotation of multiples of 90 degrees} [2023-08]
G06V 30/1465
. . . .
{by locating a pattern (G06V 30/1475 takes precedence; centring within a document with a marking G06V 30/1448)} [2023-08]
G06V 30/1468
. . . . .
{Special marks for positioning} [2022-01]
G06V 30/147
. . . .
{Determination of region of interest} [2023-08]
G06V 30/1473
. . . .
{Recognising objects as potential recognition candidates based on visual cues, e.g. shapes} [2023-08]
G06V 30/1475
. . . .
{Inclination or skew detection or correction of characters or of image to be recognised} [2023-08]
G06V 30/1478
. . . . .
{of characters or characters lines} [2023-08]
G06V 30/148
. . .
Segmentation of character regions [2023-08]
G06V 30/15
. . . .
{Cutting or merging image elements, e.g. region growing, watershed or clustering-based techniques} [2023-08]
G06V 30/153
. . . .
{using recognition of characters or words} [2022-01]
G06V 30/155
. . . .
{Removing patterns interfering with the pattern to be recognised, such as ruled lines or underlines} [2023-08]
G06V 30/158
. . . .
{using character size, text spacings or pitch estimation} [2022-01]
G06V 30/16
. .
Image preprocessing [2023-08]
G06V 30/1607
. . .
{Correcting image deformation, e.g. trapezoidal deformation caused by perspective} [2023-08]
G06V 30/1613
. . .
{Interactive preprocessing or shape modelling, e.g. assignment of feature points by a user} [2023-08]
G06V 30/162
. . .
Quantising the image signal [2023-08]
G06V 30/164
. . .
Noise filtering [2023-08]
G06V 30/166
. . .
Normalisation of pattern dimensions [2023-08]
G06V 30/168
. . .
Smoothing or thinning of the pattern; Skeletonisation [2023-08]
G06V 30/18
. .
Extraction of features or characteristics of the image [2023-08]
G06V 30/1801
. . .
{Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections (extracting features by contour coding G06V 30/182)} [2023-08]
G06V 30/18019
. . . .
{by matching or filtering} [2023-08]
G06V 30/18029
. . . . .
{filtering with Haar-like subimages, e.g. computation thereof with the integral image technique} [2023-08]
G06V 30/18038
. . . . .
{Biologically-inspired filters, e.g. difference of Gaussians [DoG], Gabor filters} [2023-08]
G06V 30/18048
. . . . . .
{with interaction between the responses of different filters, e.g. cortical complex cells} [2023-08]
G06V 30/18057
. . . . . . .
{Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]} [2023-08]
G06V 30/18067
. . . .
{by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation} [2023-08]
G06V 30/18076
. . . .
{by analysing connectivity, e.g. edge linking, connected component analysis or slices} [2023-08]
G06V 30/18086
. . .
{by performing operations within image blocks or by using histograms} [2023-08]
G06V 30/18095
. . . .
{Summing image-intensity values; Projection and histogram analysis} [2023-08]
G06V 30/18105
. . .
{related to colour} [2023-08]
G06V 30/18114
. . .
{involving specific hyperspectral computations of features} [2023-08]
G06V 30/18124
. . .
{related to illumination properties, e.g. according to a reflectance or lighting model} [2023-08]
G06V 30/18133
. . .
{regional/local feature not essentially salient, e.g. local binary pattern} [2023-08]
G06V 30/18143
. . .
{Extracting features based on salient regional features, e.g. scale invariant feature transform [SIFT] keypoints} [2023-08]
G06V 30/18152
. . . .
{Extracting features based on a plurality of salient regional features, e.g. "bag of words"} [2023-08]
G06V 30/18162
. . .
{related to a structural representation of the pattern} [2023-08]
G06V 30/18171
. . . .
{Syntactic representation, e.g. using a grammatical approach} [2023-08]
G06V 30/18181
. . . .
{Graphical representation, e.g. directed attributed graph} [2023-08]
G06V 30/1819
. . .
{sparse representations} [2023-08]
G06V 30/182
. . .
by coding the contour of the pattern [2023-08]
G06V 30/1823
. . . .
{using vector-coding} [2023-08]
G06V 30/1826
. . . .
{analysing the spectrum of the contour, e.g. Fourier expansion} [2023-08]
G06V 30/1829
. . . .
{using an approximation function} [2023-08]
G06V 30/1831
. . . .
{using gradient analysis} [2023-08]
G06V 30/1834
. . . .
{using statistical shape modelling, e.g. point distribution model} [2023-08]
G06V 30/1837
. . . .
{using wavelet analysis} [2023-08]
G06V 30/184
. . .
by analysing segments intersecting the pattern [2023-08]
G06V 30/186
. . .
by deriving mathematical or geometrical properties from the whole image [2023-08]
G06V 30/187
. . . .
{Frequency domain transformation; Autocorrelation} [2023-08]
G06V 30/188
. . . .
{Computation of moments} [2023-08]
G06V 30/189
. . . .
{Scale-space domain transformation, e.g. with wavelet analysis} [2023-08]
G06V 30/19
. .
Recognition using electronic means [2023-08]
G06V 30/19007
. . .
{Matching; Proximity measures} [2023-08]
G06V 30/19013
. . . .
{Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching (specially adapted for image segmentation G06T 7/10; specially adapted for the analysis of motion G06T 7/20; specially adapted for image alignment G06T 7/30; specially adapted for the calculation of depth from stereo images G06T 7/50; specially adapted for position determination G06T 7/70)} [2023-08]
G06V 30/1902
. . . . .
{Shifting or otherwise transforming the patterns to accommodate for positional errors} [2023-08]
G06V 30/19027
. . . . . .
{Matching of contours} [2023-08]
G06V 30/19033
. . . . . . .
{by mapping curve parameters onto an accumulator array, e.g. generalised Hough Transform} [2023-08]
G06V 30/1904
. . . . . .
{involving a deformation of the sample or reference pattern; Elastic matching} [2023-08]
G06V 30/19047
. . . . . . .
{based on a local optimisation criterion, e.g. "snakes", i.e. active contour models of the pattern to be recognised} [2023-08]
G06V 30/19053
. . . . . . .
{based on shape statistics, e.g. active shape models of the pattern to be recognised} [2023-08]
G06V 30/1906
. . . . . . . .
{based also on statistics of image patches, e.g. active appearance models of the pattern to be recognised} [2023-08]
G06V 30/19067
. . . . . .
{Matching configurations of points or features, e.g. constellation matching} [2023-08]
G06V 30/19073
. . . .
{Comparing statistics of pixel or of feature values, e.g. histogram matching} [2023-08]
G06V 30/1908
. . . .
{Region based matching} [2023-08]
G06V 30/19087
. . . .
{based on parametric eigenspace representations, e.g. eigenspace representations using pose or illumination parameters; Shape manifold} [2023-08]
G06V 30/19093
. . . .
{Proximity measures, i.e. similarity or distance measures} [2023-08]
G06V 30/191
. . .
{Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation} [2023-08]
G06V 30/19107
. . . .
{Clustering techniques} [2023-08]
G06V 30/19113
. . . .
{Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system} [2023-08]
G06V 30/1912
. . . .
{Selecting the most significant subset of features (G06V 30/19127 takes precedence)} [2023-08]
G06V 30/19127
. . . .
{Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods} [2023-08]
G06V 30/19133
. . . .
{Interactive pattern learning with a human teacher} [2023-08]
G06V 30/1914
. . . .
{Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries, e.g. user dictionaries} [2023-08]
G06V 30/19147
. . . .
{Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting} [2023-08]
G06V 30/19153
. . . .
{using rules for classification or partitioning the feature space} [2023-08]
G06V 30/1916
. . . .
{Validation; Performance evaluation} [2023-08]
G06V 30/19167
. . . .
{Active pattern learning} [2023-08]
G06V 30/19173
. . . .
{Classification techniques} [2023-08]
G06V 30/1918
. . . .
{Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion} [2023-08]
G06V 30/19187
. . . .
{Graphical models, e.g. Bayesian networks or Markov models} [2023-08]
G06V 30/19193
. . .
{Statistical pre-processing, e.g. techniques for normalisation or restoring missing data} [2023-08]
G06V 30/192
. . .
using simultaneous comparisons or correlations of the image signals with a plurality of references [2023-08]
G06V 30/194
. . . .
References adjustable by an adaptive method, e.g. learning [2023-08]
G06V 30/195
. . . .
{using a resistor matrix} [2023-08]
G06V 30/196
. . .
using sequential comparisons of the image signals with a plurality of references [2023-08]
G06V 30/198
. . . .
the selection of the next reference depending on the result of the preceding comparison [2022-01]
G06V 30/1983
. . . .
{Syntactic or structural pattern recognition, e.g. symbolic string recognition} [2023-08]
G06V 30/1985
. . . . .
{Syntactic analysis, e.g. using a grammatical approach (syntactic image representation G06V 30/18171)} [2022-01]
G06V 30/1988
. . . . .
{Graph matching (graphical image representation G06V 30/18181)} [2022-01]
G06V 30/199
. .
Arrangements for recognition using optical reference masks, e.g. holographic masks [2023-08]
G06V 30/20
. .
Combination of acquisition, preprocessing or recognition functions [2023-08]
G06V 30/22
. .
characterised by the type of writing [2023-08]
G06V 30/222
. . .
of characters separated by spaces [2022-01]
G06V 30/224
. . .
of printed characters having additional code marks or containing code marks [2023-08]
G06V 30/2247
. . . .
{Characters composed of bars, e.g. CMC-7} [2022-01]
G06V 30/2253
. . . .
{Recognition of characters printed with magnetic ink (G06V 30/2247 takes precedence)} [2022-01]
G06V 30/226
. . .
of cursive writing [2022-01]
G06V 30/2264
. . . .
{using word shape} [2022-01]
G06V 30/2268
. . . .
{using stroke segmentation} [2022-01]
G06V 30/2272
. . . . .
{with lexical matching} [2022-01]
G06V 30/2276
. . . . .
{with probabilistic networks, e.g. hidden Markov models} [2022-01]
G06V 30/228
. . .
of three-dimensional [3D] handwriting, e.g. writing in the air [2026-01]
G06V 30/24
. .
characterised by the processing or recognition method (segmentation of character regions G06V 30/148) [2023-08]
G06V 30/242
. . .
Division of the character sequences into groups prior to recognition; Selection of dictionaries [2022-01]
G06V 30/244
. . . .
using graphical properties, e.g. alphabet type or font [2022-01]
G06V 30/2445
. . . . .
{Alphabet recognition, e.g. Latin, Kanji or Katakana} [2022-01]
G06V 30/245
. . . . .
{Font recognition} [2022-01]
G06V 30/2455
. . . . .
{Discrimination between machine-print, hand-print and cursive writing} [2022-01]
G06V 30/246
. . . .
using linguistic properties, e.g. specific for English or German language [2022-01]
G06V 30/248
. . .
{involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q" (G06V 30/242 takes precedence)} [2022-01]
G06V 30/2504
. . . .
{Coarse or fine approaches, e.g. resolution of ambiguities or multiscale approaches} [2022-01]
G06V 30/2528
. . . .
{Combination of methods, e.g. classifiers, working on the same input data} [2022-01]
G06V 30/2552
. . . .
{Combination of methods, e.g. classifiers, working on different input data, e.g. sensor fusion} [2022-01]
G06V 30/26
. .
Techniques for post-processing, e.g. correcting the recognition result [2023-08]
G06V 30/262
. . .
using context analysis, e.g. lexical, syntactic or semantic context [2023-08]
G06V 30/268
. . . .
{Lexical context} [2022-01]
G06V 30/274
. . . .
{Syntactic or semantic context, e.g. balancing} [2022-01]
G06V 30/28
. .
specially adapted to the type of the alphabet, e.g. Latin alphabet [2023-08]
G06V 30/287
. . .
{of Kanji, Hiragana or Katakana characters} [2022-01]
G06V 30/293
. . .
{of characters other than Kanji, Hiragana or Katakana} [2022-01]
G06V 30/30
. .
based on the type of data [2023-08]
G06V 30/302
. . .
Images containing characters for discriminating human versus automated computer access [2023-08]
G06V 30/304
. . .
Music notations [2022-01]
G06V 30/32
. .
Digital ink [2023-08]
G06V 30/333
. . .
{Preprocessing; Feature extraction} [2022-01]
G06V 30/347
. . . .
{Sampling; Contour coding; Stroke extraction} [2022-01]
G06V 30/36
. . .
{Matching; Classification} [2022-01]
G06V 30/373
. . . .
{using a special pattern or subpattern alphabet} [2022-01]
G06V 30/387
. . . .
{using human interaction, e.g. selection of the best displayed recognition candidate} [2022-01]
G06V 30/40
.
Document-oriented image-based pattern recognition [2023-08]
G06V 30/41
. .
Analysis of document content (recognition of printed characters based on code marks G06V 30/224) [2023-08]
G06V 30/412
. . .
Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables [2022-01]
G06V 30/413
. . .
Classification of content, e.g. text, photographs or tables [2022-01]
G06V 30/414
. . .
Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text [2022-01]
G06V 30/416
. . .
Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors [2022-01]
G06V 30/418
. . .
Document matching, e.g. of document images [2022-01]
G06V 30/42
. .
based on the type of document [2022-01]
G06V 30/422
. . .
Technical drawings; Geographical maps [2022-01]
G06V 30/424
. . .
Postal images, e.g. labels or addresses on parcels or postal envelopes [2022-01]
G06V 30/43
. .
{Editing text-bitmaps, e.g. alignment, spacing; Semantic analysis of bitmaps of text without OCR} [2022-01]
G06V 40/00
Recognition of biometric, human-related or animal-related patterns in image or video data [2023-08]
G06V 40/10
.
Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands [2022-01]
G06V 40/103
. .
{Static body considered as a whole, e.g. static pedestrian or occupant recognition} [2022-01]
G06V 40/107
. .
{Static hand or arm} [2022-01]
G06V 40/11
. . .
{Hand-related biometrics; Hand pose recognition} [2022-01]
G06V 40/113
. . .
{Recognition of static hand signs} [2022-01]
G06V 40/117
. . .
{Biometrics derived from hands} [2022-01]
G06V 40/12
. .
Fingerprints or palmprints [2022-01]
G06V 40/13
. . .
Sensors therefor [2023-08]
G06V 40/1306
. . . .
{non-optical, e.g. ultrasonic or capacitive sensing} [2022-01]
G06V 40/1312
. . . .
{direct reading, e.g. contactless acquisition} [2022-01]
G06V 40/1318
. . . .
{using electro-optical elements or layers, e.g. electroluminescent sensing} [2022-01]
G06V 40/1324
. . . .
{by using geometrical optics, e.g. using prisms (G06V 40/1312 takes precedence)} [2022-01]
G06V 40/1329
. . . .
{Protecting the fingerprint sensor against damage caused by the finger} [2022-01]
G06V 40/1335
. . .
{Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement} [2022-01]
G06V 40/1341
. . .
{Sensing with light passing through the finger} [2022-01]
G06V 40/1347
. . .
{Preprocessing; Feature extraction} [2022-01]
G06V 40/1353
. . . .
{Extracting features related to minutiae or pores} [2022-01]
G06V 40/1359
. . . .
{Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop} [2022-01]
G06V 40/1365
. . .
{Matching; Classification} [2022-01]
G06V 40/1371
. . . .
{Matching features related to minutiae or pores} [2022-01]
G06V 40/1376
. . . .
{Matching features related to ridge properties or fingerprint texture} [2022-01]
G06V 40/1382
. . .
{Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger} [2022-01]
G06V 40/1388
. . . .
{using image processing} [2022-01]
G06V 40/1394
. . . .
{using acquisition arrangements} [2022-01]
G06V 40/14
. .
Vascular patterns [2022-01]
G06V 40/145
. . .
Sensors therefor [2023-08]
G06V 40/15
. .
{Biometric patterns based on physiological signals, e.g. heartbeat, blood flow} [2022-01]
G06V 40/155
. .
{use of biometric patterns for forensic purposes} [2022-01]
G06V 40/16
. .
Human faces, e.g. facial parts, sketches or expressions [2022-01]
G06V 40/161
. . .
{Detection; Localisation; Normalisation} [2022-01]
G06V 40/162
. . . .
{using pixel segmentation or colour matching} [2022-01]
G06V 40/164
. . . .
{using holistic features} [2022-01]
G06V 40/165
. . . .
{using facial parts and geometric relationships} [2022-01]
G06V 40/166
. . . .
{using acquisition arrangements} [2022-01]
G06V 40/167
. . . .
{using comparisons between temporally consecutive images} [2022-01]
G06V 40/168
. . .
{Feature extraction; Face representation} [2022-01]
G06V 40/169
. . . .
{Holistic features and representations, i.e. based on the facial image taken as a whole} [2022-01]
G06V 40/171
. . . .
{Local features and components; Facial parts (eye characteristics G06V 40/18); Occluding parts, e.g. glasses; Geometrical relationships} [2022-01]
G06V 40/172
. . .
{Classification, e.g. identification} [2022-01]
G06V 40/173
. . . .
{face re-identification, e.g. recognising unknown faces across different face tracks} [2022-01]
G06V 40/174
. . .
{Facial expression recognition} [2022-01]
G06V 40/175
. . . .
{Static expression} [2022-01]
G06V 40/176
. . . .
{Dynamic expression} [2022-01]
G06V 40/178
. . .
{estimating age from face image; using age information for improving recognition} [2022-01]
G06V 40/179
. . .
{metadata assisted face recognition} [2022-01]
G06V 40/18
. .
Eye characteristics, e.g. of the iris [2022-01]
G06V 40/19
. . .
Sensors therefor [2022-01]
G06V 40/193
. . .
{Preprocessing; Feature extraction} [2022-01]
G06V 40/197
. . .
{Matching; Classification} [2022-01]
G06V 40/20
.
Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V 40/16) [2022-01]
G06V 40/23
. .
{Recognition of whole body movements, e.g. for sport training} [2022-01]
G06V 40/25
. . .
{Recognition of walking or running movements, e.g. gait recognition} [2022-01]
G06V 40/28
. .
{Recognition of hand or arm movements, e.g. recognition of deaf sign language (static hand signs G06V 40/113)} [2022-01]
G06V 40/30
.
Writer recognition; Reading and verifying signatures [2022-01]
G06V 40/33
. .
{based only on signature image, e.g. static signature recognition} [2022-01]
G06V 40/37
. .
{based only on signature signals such as velocity or pressure, e.g. dynamic signature recognition} [2022-01]
G06V 40/376
. . .
{Acquisition} [2022-01]
G06V 40/382
. . .
{Preprocessing; Feature extraction} [2022-01]
G06V 40/388
. . . .
{Sampling; Contour coding; Stroke extraction} [2022-01]
G06V 40/394
. . .
{Matching; Classification} [2022-01]
G06V 40/40
.
Spoof detection, e.g. liveness detection [2022-01]
G06V 40/45
. .
{Detection of the body part being alive} [2022-01]
G06V 40/50
.
Maintenance of biometric data or enrolment thereof [2022-01]
G06V 40/53
. .
{Measures to keep reference information secret, e.g. cancellable biometrics} [2022-01]
G06V 40/55
. .
{Performing matching on a personal external card, e.g. to avoid submitting reference information} [2022-01]
G06V 40/58
. .
{Solutions for unknown imposter distribution} [2022-01]
G06V 40/60
.
Static or dynamic means for assisting the user to position a body part for biometric acquisition [2022-01]
G06V 40/63
. .
{by static guides} [2022-01]
G06V 40/67
. .
{by interactive indications to the user} [2022-01]
G06V 40/70
.
Multimodal biometrics, e.g. combining information from different biometric modalities [2022-01]
G06V 2201/00
Indexing scheme relating to image or video recognition or understanding [2022-01]
G06V 2201/01
.
Solutions for problems related to non-uniform document background [2022-01]
G06V 2201/02
.
Recognising information on displays, dials, clocks [2022-01]
G06V 2201/03
.
Recognition of patterns in medical or anatomical images [2022-01]
G06V 2201/031
. .
of internal organs [2022-01]
G06V 2201/032
. .
of protuberances, polyps nodules, etc. [2022-01]
G06V 2201/033
. .
of skeletal patterns [2022-01]
G06V 2201/034
. .
of medical instruments [2022-01]
G06V 2201/04
.
Recognition of patterns in DNA microarrays [2022-01]
G06V 2201/05
.
Recognition of patterns representing particular kinds of hidden objects, e.g. weapons, explosives, drugs [2022-01]
G06V 2201/06
.
Recognition of objects for industrial automation [2022-01]
G06V 2201/07
.
Target detection [2022-01]
G06V 2201/08
.
Detecting or categorising vehicles [2022-01]
G06V 2201/09
.
Recognition of logos [2022-01]
G06V 2201/10
.
Recognition assisted with metadata [2022-01]
G06V 2201/11
.
Technique with transformation invariance effect [2022-01]
G06V 2201/12
.
Acquisition of 3D measurements of objects [2022-01]
G06V 2201/121
. .
using special illumination [2022-01]
G06V 2201/122
. .
Computational image acquisition in electron microscopy [2022-01]
G06V 2201/13
.
Type of disclosure document [2022-01]
G06V 2201/131
. .
Book [2022-01]
G06V 2201/132
. .
Book chapter [2022-01]
G06V 2201/133
. .
Survey article [2022-01]
G06V 2201/134
. .
Technical report or standard [2022-01]
G06V 2201/135
. .
Master, PhD or other thesis [2022-01]
G06V 2201/136
. .
Tutorial [2022-01]