脱机手写体汉字识别综述  

A Review of Off-Line Handwritten Chinese Character Recognition

作　　者：赵继印[1] 郑蕊蕊[2] 吴宝春[1] 李敏[1] 

机构地区：[1]大连民族学院机电信息工程学院,辽宁大连116600 [2]吉林大学通信工程学院,吉林长春130025

出　　处：《电子学报》2010年第2期405-415,共11页Acta Electronica Sinica

基　　金：大连民族学院科研基金(No.20086201);吉林省科技厅科技引导计划(No.20090511)

摘　　要：脱机手写体汉字识别是模式识别领域最具挑战性的课题之一.本文分析了近年来脱机手写体汉字识别的最新进展,讨论了脱机手写体汉字分割、特征提取和分类器设计等关键技术的各种主流方法,介绍了3种典型的汉字识别数据库,并提出了脱机手写体汉字识别的难点问题和今后发展的趋势,为该领域的研究者指明研究方向,共同促进脱机手写体汉字识别技术的发展.Off-line handwritten Chinese character recognition is one of the most challenging problems in pattern recognition field. This paper analyzed the latest developments of off-line handwritten Chinese character recognition in recent years. Main methods of the key technologies such as Chinese characters segmentation, feature extraction and classifier design were discussed. This paper also introduced 3 typical off-line handwritten Chinese character recognition databases. Finally, remain difficult issues and future trends of off-line handwritten Chinese character recognition were proposed. This paper will guide researchers in this field and promote development of off-line handwritten Chinese character recognition technology.

关 键 词：脱机手写体汉字识别 字符分割 特征提取 分类器设计 汉字识别数据库 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]