离线大词汇手写汉字识别器

P. Wong, Chorkin Chan
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引用次数: 1

摘要

报道了一种基于上下文向量量化(CVQ)的离线手写汉字识别器,支持4616个汉字、字母数字和标点符号。对100位作家的每个字符进行样本训练,并对另外200位作家的16万个字符进行测试,平均识别率为77.2%。本研究考察了两种统计语言模型。当用作识别器的后置处理器时,它们的识别率分别提高了8.8%和12.0%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An off-line large vocabulary hand-written Chinese character recognizer
An off-line hand-written Chinese character recognizer based on contextual vector quantization (CVQ) supporting a vocabulary of 4616 Chinese characters, alphanumerics and punctuation symbols has been reported. Trained with a sample for each character from each of 100 writers and tested on texts of 160000 characters written by another 200 writers, the average recognition rate is 77.2%. Two statistical language models have been investigated in this study. Their performance in terms of their capabilities in upgrading the recognition rate by 8.8% and 12.0% respectively when used as post-processors of the recognizer are reported.
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