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DIFF Main Group
G06V 30/00

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N1/00)

Introduced: January 2022

Title

Titles differ between systems:

IPC: Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition

CPC: Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N1/00)

Full Title

Full titles differ between systems:

IPC:

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition

CPC:

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N1/00)

Additional Content IPC

Glossary

OCR optical character recognition, recognising a machine printed symbol or character based on an image offline handwriting recognition recognising a handwritten symbol or character based on an image, i.e. without any temporal information. The difference with respect to OCR is that the symbols or characters are handwritten. online handwriting recognition recognising a handwritten symbol or character based on time-series of handwritten coordinates, i.e. with temporal information. strokes stroke basic components of characters that are either separated spatially and/or temporally, e.g. contiguous segments left by a writing instrument during handwriting

Limiting references

Scanning, transmission or reproduction of documents or the like

Application references

Sorting of mail or documents using means for detecting the destination Input arrangements for interaction between user and computer Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable

IPC and CPC are identically structured here. All 2 subcodes exist in both systems.

IPC defines codes here since 2022.

Child Classifications

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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