FI (list display)

  • G06V30/00
  • Character recognition; Recognising digital ink;Document-oriented image-based pattern recognition(scanning, transmission or reproduction of documents or the like H04N 1/00) [2022.01] HB CC 5B064
  • G06V30/00@M
  • Magnetic reading [2022.01] HB CC 5B064
  • G06V30/00@P
  • Reading of numerical formula, tables, graphs [2022.01] HB CC 5B064
  • G06V30/00@S
  • Combination with other devices and so on (in principle, assigned only as a secondary classification) [2022.01] HB CC 5B064
  • G06V30/00@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/10
  • .Character recognition [2022.01] HB CC 5B064
  • G06V30/12
  • ..Detection or correction of errors, e.g. by rescanning the pattern [2022.01] HB CC 5B064
  • G06V30/12@B
  • Entering or specifying of correct characters by operators [2022.01] HB CC 5B064
  • G06V30/12@C
  • Matching several recognition results, e.g. matching the results of recognition processes performed several times, or matching recognition results produced by multiple recognition means [2022.01] HB CC 5B064
  • G06V30/12@D
  • Reading of spare areas, e.g. correspondence with phonetic kana characters [2022.01] HB CC 5B064
  • G06V30/12@J
  • characterised by the display of recognition results [2022.01] HB CC 5B064
  • G06V30/12@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/14
  • ..Image acquisition [2022.01] HB CC 5B029
  • G06V30/14,340
  • ...related to reading areas [2022.01] HB CC 5B029
  • G06V30/14,340@A
  • Designation of reading areas [2022.01] HB CC 5B029
  • G06V30/14,340@B
  • .Instructions of reading areas [2022.01] HB CC 5B029
  • G06V30/14,340@J
  • Segmentation of reading areas [2022.01] HB CC 5B029
  • G06V30/14,340@K
  • .Segmentation of character lines [2022.01] HB CC 5B029
  • G06V30/14,340@P
  • Merging of reading areas, e.g. input of the images acquired by multiple CCDs [2022.01] HB CC 5B029
  • G06V30/14,340@Z
  • Others [2022.01] HB CC 5B029
  • G06V30/14,360
  • ...Reading of characters with special features [2022.01] HB CC 5B029
  • G06V30/14,360@A
  • Reading of magnetic, electrostatic characters [2022.01] HB CC 5B029
  • G06V30/14,360@B
  • Reading of embossed or engraved characters [2022.01] HB CC 5B029
  • G06V30/14,360@C
  • Reading of colour images [2022.01] HB CC 5B029
  • G06V30/14,360@Z
  • Others [2022.01] HB CC 5B029
  • G06V30/142
  • ...using hand-held instruments; Constructional details of the instruments [2022.01] HB CC 5B029
  • G06V30/144
  • ...using a slot moved over the image; using discrete sensing elements at predetermined points; using automatic curve following means [2022.01] HB CC 5B029
  • G06V30/146
  • ...Aligning or centering of the image pick-up or image-field [2022.01] HB CC 5B029
  • G06V30/148
  • ...Segmentation of character regions [2022.01] HB CC 5B029
  • G06V30/16
  • ..Image preprocessing [2022.01] HB CC 5B029
  • G06V30/162
  • ...Quantising the image signal [2022.01] HB CC 5B029
  • G06V30/162@A
  • Quantisation in general [2022.01] HB CC 5B029
  • G06V30/162@B
  • .using the maximum or the minimum value [2022.01] HB CC 5B029
  • G06V30/162@C
  • .using histograms [2022.01] HB CC 5B029
  • G06V30/162@D
  • Digital quantisation [2022.01] HB CC 5B029
  • G06V30/162@K
  • Multi-value conversion, normalisation of the density [2022.01] HB CC 5B029
  • G06V30/162@R
  • Correction of the background levels, e.g. white level follower [2022.01] HB CC 5B029
  • G06V30/162@S
  • .Shading correction [2022.01] HB CC 5B029
  • G06V30/162@Z
  • Others [2022.01] HB CC 5B029
  • G06V30/164
  • ...Noise filtering [2022.01] HB CC 5B029
  • G06V30/166
  • ...Normalisation of pattern dimensions [2022.01] HB CC 5B029
  • G06V30/168
  • ...Smoothing or thinning of the pattern;Skeletonisation [2022.01] HB CC 5B029
  • G06V30/18
  • ..Extraction of features or characteristics of the image [2022.01] HB CC 5B064
  • G06V30/18@A
  • Extraction of the features of character patterns [2022.01] HB CC 5B064
  • G06V30/18@B
  • .Extraction of the features of strokes, e.g. the center line of a character [2022.01] HB CC 5B064
  • G06V30/18@C
  • .Extraction of the features of background, e.g. peripheral features [2022.01] HB CC 5B064
  • G06V30/18@D
  • .Extraction of the features of character outlines [2022.01] HB CC 5B064
  • G06V30/18@G
  • Extraction of the supplementary features of images, which are useful for character recognition, e.g. character reference lines, size of character images, character modification [2022.01] HB CC 5B064
  • G06V30/18@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/182
  • ...by coding the contour of the pattern [2022.01] HB CC 5B064
  • G06V30/184
  • ...by analysing segments intersecting the pattern [2022.01] HB CC 5B064
  • G06V30/186
  • ...by deriving mathematical or geometrical properties from the whole image [2022.01] HB CC 5B064
  • G06V30/19
  • ..Recognition using electronic means [2022.01] HB CC 5B064
  • G06V30/19@D
  • Overlapping methods [2022.01] HB CC 5B064
  • G06V30/19@F
  • For recognition of Kanji characters [2022.01] HB CC 5B064
  • G06V30/19@G
  • On-line types [2022.01] HB CC 5B064
  • G06V30/19@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/192
  • ...using simultaneous comparisons or correlations of the image signals with a plurality of references [2022.01] HB CC 5B064
  • G06V30/194
  • ....References adjustable by an adaptive method, e.g. learning [2022.01] HB CC 5B064
  • G06V30/196
  • ...using sequential comparisons of the image signals with a plurality of references [2022.01] HB CC 5B064
  • G06V30/196@A
  • characterised by the structures of recognition dictionaries [2022.01] HB CC 5B064
  • G06V30/196@B
  • .having plural recognition dictionaries or regionally-segmented recognition dictionaries [2022.01] HB CC 5B064
  • G06V30/196@E
  • characterised by methods to create or to correct recognition dictionaries [2022.01] HB CC 5B064
  • G06V30/196@G
  • having tables complementing recognition dictionaries, e.g. tables of similar characters [2022.01] HB CC 5B064
  • G06V30/196@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/198
  • ....the selection of the next reference depending on the result of the preceding comparison [2022.01] HB CC 5B064
  • G06V30/199
  • ..Arrangements for recognition using optical reference masks, e.g. holographic masks [2022.01] HB CC 5B064
  • G06V30/20
  • ..Combination of acquisition, preprocessing or recognition functions [2022.01] HB CC 5B064
  • G06V30/22
  • ..characterised by the type of writing [2022.01] HB CC 5B064
  • G06V30/222
  • ...of characters separated by spaces [2022.01] HB CC 5B064
  • G06V30/224
  • ...of printed characters having additional code marks or containing code marks [2022.01] HB CC 5B029
  • G06V30/226
  • ...of cursive writing [2022.01] HB CC 5B064
  • G06V30/228
  • ...of three-dimensional handwriting, e.g. writing in the air [2022.01] HB CC 5B064
  • G06V30/24
  • ..characterised by the processing or recognition method (segmentation of character regions G06V 30/148) [2022.01] HB CC 5B064
  • G06V30/24,620
  • ...characterised by processing methods [2022.01] HB CC 5B064
  • G06V30/24,620@A
  • Determining several hypotheses over the courses of subsequent processes, e.g. major classification, multi-stage matching [2022.01] HB CC 5B064
  • G06V30/24,620@B
  • Determining several hypotheses in preprocessing, e.g. determining several candidate positions for character segmentation based on recognition results [2022.01] HB CC 5B064
  • G06V30/24,620@D
  • Sending feedback, e.g. re-reading or re-segmenting by use of recognition results [2022.01] HB CC 5B064
  • G06V30/24,620@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/24,630
  • ...characterised by extraction of features [2022.01] HB CC 5B064
  • G06V30/24,630@A
  • performing region segmentation [2022.01] HB CC 5B064
  • G06V30/24,630@C
  • creating directional feature plane [2022.01] HB CC 5B064
  • G06V30/24,630@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/24,640
  • ...characterised by matching of features [2022.01] HB CC 5B064
  • G06V30/24,640@A
  • characterised by the calculation of distance/similarity operations [2022.01] HB CC 5B064
  • G06V30/24,640@C
  • by dynamic programming (DP) matchings, relaxation matchings [2022.01] HB CC 5B064
  • G06V30/24,640@E
  • using coordinate transformation, e.g. affine transformation, non-linear transformation [2022.01] HB CC 5B064
  • G06V30/24,640@Z
  • Others [2022.01] HB CC 5B064
  • G06V30/242
  • ...Division of the character sequences into groups prior to recognition; Selection of dictionaries [2022.01] HB CC 5B064
  • G06V30/244
  • ....using graphical properties, e.g. alphabet type or font [2022.01] HB CC 5B064
  • G06V30/246
  • ....using linguistic properties, e.g. specific for English or German language [2022.01] HB CC 5B064
  • G06V30/248
  • ....Judgement as to whether characters used are lowercase letters or uppercase letters[2022.01] HB CC 5B064
  • G06V30/249
  • ....Judgement on the types of characters used, e.g. whether characters used are hiragana characters or katakana characters[2022.01] HB CC 5B064
  • G06V30/26
  • ..Techniques for post-processing, e.g. correcting the recognition result [2022.01] HB CC 5B064
  • G06V30/262
  • ...using context analysis, e.g. lexical, syntactic or semantic context [2022.01] HB CC 5B064
  • G06V30/264
  • ...Characterized by the structures of glossaries, e.g. multiple glossaries, hierarchical glossaries[2022.01] HB CC 5B064
  • G06V30/266
  • ...Characterized by the ways to check in glossaries[2022.01] HB CC 5B064
  • G06V30/268
  • ...Characterized by the ways to create or revise glossaries[2022.01] HB CC 5B064
  • G06V30/28
  • ..specially adapted to the type of the alphabet, e.g.Latin alphabet [2022.01] HB CC 5B064
  • G06V30/30
  • ..based on the type of data [2022.01] HB CC 5B064
  • G06V30/302
  • ...Images containing characters for discriminating human versus automated computer access [2022.01] HB CC 5B064
  • G06V30/304
  • ...Music notations [2022.01] HB CC 5B064
  • G06V30/32
  • ..Digital ink [2022.01] HB CC 5B064
  • G06V30/40
  • .Document-oriented image-based pattern recognition [2022.01] HB CC 5B029
  • G06V30/41
  • ..Analysis of document content (recognition of printed characters based on code marks G06V 30/224) [2022.01] HB CC 5B029
  • G06V30/412
  • ...Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables [2022.01] HB CC 5B029
  • G06V30/413
  • ...Classification of content, e.g. text, photographs or tables [2022.01] HB CC 5B029
  • G06V30/414
  • ...Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text [2022.01] HB CC 5B029
  • G06V30/416
  • ...Extracting the logical structure, e.g. chapters,sections or page numbers; Identifying elements of the document, e.g. authors [2022.01] HB CC 5B029
  • G06V30/418
  • ...Document matching, e.g. of document images [2022.01] HB CC 5L096
  • G06V30/42
  • ..based on the type of document [2022.01] HB CC 5B064
  • G06V30/422
  • ...Technical drawings; Geographicalmaps [2022.01] HB CC 5B064
  • G06V30/424
  • ...Postal images, e.g. labels or addresses on parcels or postal envelopes [2022.01] HB CC 5B064
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