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IPC Subgroup
G06V 30/26

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

Introduced: January 2022

Full Title

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

Classification Context

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

Additional Content

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.

1 direct subcode

Child Classifications

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  • G06V 30/262 using context analysis, e.g. lexical, syntactic or semantic context

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