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CPC Subgroup
G06V 30/41

Analysis of document content (recognition of printed characters based on code marks G06V30/224)

Full Title

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N1/00) > Document-oriented image-based pattern recognition > Analysis of document content (recognition of printed characters based on code marks G06V30/224)

5 direct subcodes

Child Classifications

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  • G06V 30/412 Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables
  • G06V 30/413 Classification of content, e.g. text, photographs or tables
  • G06V 30/414 Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text
  • G06V 30/416 Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors
  • G06V 30/418 Document matching, e.g. of document images

Top Applicants

Top 10 applicants by patent filingsfor class G06, 2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 76,952
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
  3. MICROSOFT TECHNOLOGY LICENSING US 44,778
  4. GOOGLE US 35,735
  5. INTEL CORPORATION US 32,087
  6. HUAWEI TECHNOLOGIES COMPANY CN 30,572
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
  8. APPLE US 23,482
  9. SGCC(STATE GRID CORPORATION OF CHINA) 22,548
  10. HUAWEI TECHNOLOGIES COMPANY 20,917