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Methods and systems for decision-tree-based automated symbol recognition

机译:用于基于决策树的自动符号识别的方法和系统

摘要

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.
机译:当前文档针对用于识别与扫描文档图像或其他包含文本的图像中的符号图像相对应的符号的方法和系统,其中该符号与汉字或日语字符,韩语音节块或使用大量符号进行书写和打印的其他语言。在一种实现中,当前文档所针对的方法和系统创建并存储决策树,决策树的节点包括分类器,每个分类器都识别与符号图像相对应的符号。将符号图像输入到决策树并通过决策树的一个或多个节点对符号图像进行处理,将返回与该符号图像相对应的符号。

著录项

  • 公开/公告号US10068156B2

    专利类型

  • 公开/公告日2018-09-04

    原文格式PDF

  • 申请/专利权人 ABBYY DEVELOPMENT LLC;

    申请/专利号US201514662570

  • 发明设计人 YURI CHULININ;YURY VATLIN;

    申请日2015-03-19

  • 分类号G06K9;G06K9/62;G06K9/03;G06K9/72;G06K9/34;G06K9/46;G06F17/27;

  • 国家 US

  • 入库时间 2022-08-21 13:01:50

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