Handwritten Chinese character recognition using nonlinear active shape models and the Viterbi algorithm

作     者：Shi, DM Gunn, SR Damper, RI 

作者机构：Univ Southampton Dept Elect & Comp Sci ISIS Res Grp Southampton SO17 1BJ Hants England 

出 版 物：《PATTERN RECOGNITION LETTERS》 (模式识别快报)

年 卷 期：2002年第23卷第14期

页      面：1853-1862页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：handwritten Chinese character recognition active shape model kernel principal component analysis Viterbi algorithm 

摘      要：Since Chinese characters are composed from a small set of fundamental shapes (radicals) the problem of recognising large numbers of characters can be converted to that of extracting a small number of radicals and then finding their optimal combination. In this paper, radical extraction is carried out by nonlinear active shape models, in which kernel principal component analysis is employed to capture the nonlinear variation. Treating Chinese character composition as a discrete Markov process, we also propose an approach to recognition with the Viterbi algorithm. Our initial experiments are conducted on off-line recognition of 430,800 loosely-con strained characters, comprised of 200 radical categories covering 2154 character categories from 200 writers. The correct recognition rate is 93.5% characters correct (writer-independent). Consideration of published figures for existing radical approaches suggests that our method achieves superior performance. (C) 2002 Elsevier Science B.V. All rights reserved.