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DIFF Subgroup
G06V 30/26

Techniques for post-processing, e.g. correcting the recognition result

Introduced: January 2022

Full Title

Full titles differ between systems:

IPC:

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition > Character recognition > Techniques for post-processing, e.g. correcting the recognition result

CPC:

Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition (scanning, transmission or reproduction of documents or the like H04N1/00) > Character recognition > Techniques for post-processing, e.g. correcting the recognition result

Additional Content IPC

n-gram a contiguous sequence of n items from a given sample of text. The items can be syllables, letters, words or base pairs according to the application. Typical examples are bi-grams and tri-grams. trie also called “digital tree” or “prefix tree”, is a type of tree data structure used for locating specific keys (items) from within a set of characters or words. In order to access a key (to recover its value, change it, or remove it), the trie is traversed (usually in a depth-first fashion), following the links between nodes.

IPC and CPC are identically structured here. All 1 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