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IPC Subgroup
G06V 30/41

Analysis of document content

Introduced: January 2022

Full Title

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

Classification Context

Section:
PHYSICS
Class:
COMPUTING OR CALCULATING; COUNTING
Subclass:
IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Additional Content

Recognition of printed characters based on code marks

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 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