使用方向特征密度的自由手写日文在线识别

Q4 Computer Science

模式识别与人工智能 Pub Date : 1992-08-30 DOI:10.1109/ICPR.1992.201750

A. Kawamura, K. Yura, T. Hayama, Y. Hidai, T. Minamikawa, A. Tanaka, S. Masuda

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引用次数: 59

摘要

作者提出了一种允许笔画数和笔画顺序变化的在线手写日文字符识别方法。该方法基于模式匹配技术。匹配方法采用与笔画数和笔画顺序无关的定向特征密度的多重相似度方法。该方法对2965个自由书写的日文汉字实现了91%的良好识别率。

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Online recognition of freely handwritten Japanese characters using directional feature densities

The authors propose an online handwritten Japanese character recognition method permitting both stroke number and stroke order variations. The method is based on the pattern matching technique. Matching is done by the multiple similarity method using directional feature densities, which are independent of both stroke number and stroke order. This method has achieved a good recognition rate, 91%, for 2965 freely written Japanese kanji characters.<>

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来源期刊

模式识别与人工智能 Computer Science-Artificial Intelligence

CiteScore

1.60

自引率

0.00%

发文量

3316

期刊介绍：