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计算机工程 ›› 2008, Vol. 34 ›› Issue (15): 201-204. doi: 10.3969/j.issn.1000-3428.2008.15.073

• 人工智能及识别技术 • 上一篇    下一篇

脱机手写体汉字识别综述

何志国1,曹玉东2   

  1. (1. 攀枝花学院计算机系,攀枝花 617000;2. 攀枝花学院电气工程系,攀枝花 617000)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-08-05 发布日期:2008-08-05

Survey of Offline Handwritten Chinese Character Recognition

HE Zhi-guo1, CAO Yu-dong2   

  1. (1. Dept. of Comptuer, Panzhihua College, Panzhihua 617000; 2. Dept. of Electrical Engineering, Panzhihua College, Panzhihua 617000)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-08-05 Published:2008-08-05

摘要: 脱机手写体汉字识别是模式识别领域中的难题之一。该文分析影响脱机手写体汉字识别性能的主要方面,如规范化方法、特征提取方法及分类方法,给出了每种方法的适用条件,介绍了目前研究中所使用的数据库。

关键词: 手写体汉字识别, 规范化, 特征提取, 分类识别

Abstract: Offline Handwritten Chinese Character Recognition(HCCR) is one of the most difficult problems in pattern recognition, and various approaches are presented to recognize their different aspects. This paper describes the main techniques which mainly influence the performance of the recognition system, including the way of normalization, feature extraction, classification and recognition. It evaluates each technique and gives its conditions for correctly use, introduces the currently used Chinese character database.

Key words: Handwritten Chinese Character Recognition(HCCR), normalization, feature extraction, classification and recognition

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