A Method of Character Recognition Based on General Characteristic and Connected Regions

Meng Qing-yuan, Huang Hongping, Bai Yanping
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引用次数: 1

Abstract

In this paper, by analyzing the number of concave domain and cycles and the characteristic of connected domain of the characters, we present a method of character recognition based on above mentioned features. At first, the characters are divided into two classes according to cycles: the character with cycles and the character without cycles. Then, we detect if the character has sunk parts in its four directions (up, down, left, right).According to the results, the character can be recognized or divided into six classes. At last, we recognize the character using the characteristic of connected domain, and obtain the final recognition results. The experiment shows that the algorithm has a good performance in English characters recognition.
一种基于一般特征和连通区域的字符识别方法
本文通过分析汉字的凹域数、圈数和连通域的特征,提出了一种基于凹域数、圈数和连通域数的汉字识别方法。首先根据循环将汉字分为两类:有循环的汉字和无循环的汉字。然后,我们检测角色是否在四个方向(上、下、左、右)下沉。根据结果,汉字可被识别或分为六类。最后利用连通域的特征对字符进行识别,得到最终的识别结果。实验表明,该算法在英语字符识别中具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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