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DIFF Subgroup
G06V 30/41

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

Introduced: January 2022

Title

Titles differ between systems:

IPC: Analysis of document content

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

Full Title

Full titles differ between systems:

IPC:

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition > Document-oriented image-based pattern recognition > Analysis of document content

CPC:

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)

Additional Content IPC

Recognition of printed characters based on code marks

IPC and CPC are identically structured here. All 5 subcodes exist in both systems.

IPC defines codes here since 2022.

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 since 2022 IPC+CPC Available in IPC and CPC
  • G06V 30/413 Classification of content, e.g. text, photographs or tables since 2022 IPC+CPC Available in IPC and CPC
  • G06V 30/414 Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text since 2022 IPC+CPC Available in IPC and CPC
  • G06V 30/416 Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors since 2022 IPC+CPC Available in IPC and CPC
  • G06V 30/418 Document matching, e.g. of document images since 2022 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505

Top Applicants (CPC)

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