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 program} [2022-01]
G06V 20/64
. .
Three-dimensional objects [2023-08]
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) [2023-08]
NOTE

  • This group covers recognition of characters or digital ink, where the characters or the digital ink can include representations in three dimensions, 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 handwriting, e.g. writing in the air [2022-01]
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]