基于比例不变识别技术的泰文手写分割

A. Chatchinarat
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引用次数: 3

摘要

多年来,手写字符识别一直是许多语言中正在进行的研究。大多数技术都集中在分离物识别上。然而,如果一个作家写得很快,一个笔划可以写两个或更多的字符。这个输入不能用于识别。前面我介绍了分离两个字符连接的泰文笔迹的方法。本文提出了一种基于改进的水库和比例不变识别技术分离两个或多个字符的连接泰文手写体的方法。所提出的技术找到候选分割点(包括正确的分割点)的率为92.8%,正确分割的率为87.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thai Handwritten Segmentation Using Proportional Invariant Recognition Technique
Handwritten character recognition has been an on-going research in many languages for many years. Most techniques focus on isolate recognition. However, if a writer writes at fast speed, two or more characters can be written within one stroke. This input cannot be used to recognition. Previously I present the method to separate two characters connected Thai handwriting. This paper presents the method to separate connected Thai handwriting based on a modified water-reservoir and Proportional Invariant Recognition technique to separate two or more characters. The proposed technique find candidate segmentation points (include correctly segmentation points) at 92.8% and segment correctly at 87.6%.
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