Invention Grant
- Patent Title: Methods and systems for decision-tree-based automated symbol recognition
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Application No.: US14662570Application Date: 2015-03-19
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Publication No.: US10068156B2Publication Date: 2018-09-04
- Inventor: Yuri Chulinin , Yury Vatlin
- Applicant: ABBYY Development LLC
- Applicant Address: RU Moscow
- Assignee: ABBYY Development LLC
- Current Assignee: ABBYY Development LLC
- Current Assignee Address: RU Moscow
- Agency: Lowenstein Sandler LLP
- Priority: RU2015102520 20150127
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/03 ; G06K9/72 ; G06K9/34 ; G06K9/46 ; G06F17/27

Abstract:
The current document is directed to methods and systems for identifying symbols corresponding to symbol images in a scanned-document image or other text-containing image, with the symbols corresponding to Chinese or Japanese characters, to Korean morpho-syllabic blocks, or to symbols of other languages that use a large number of symbols for writing and printing. In one implementation, the methods and systems to which the current document is directed create and store a decision tree, the nodes of which include classifiers that each recognizes the symbol that corresponds to a symbol image. Input of a symbol image to the decision tree and processing of the symbol image through one or more nodes of the decision tree returns a symbol corresponding to the symbol image.
Public/Granted literature
- US20160217123A1 METHODS AND SYSTEMS FOR DECISION-TREE-BASED AUTOMATED SYMBOL RECOGNITION Public/Granted day:2016-07-28
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