脱机手写体汉字识别综述  

Survey of Offline Handwritten Chinese Character Recognition

作　　者：何志国[1] 曹玉东[2] 

机构地区：[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

出　　处：《计算机工程》2008年第15期201-204,共4页Computer Engineering

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。Offiine 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.

关 键 词：手写体汉字识别 规范化 特征提取 分类识别 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]