Machine recognition of optically captured machine printed arabic text
Machine recognition of optically captured machine printed arabic text
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DOI：
10.1016/0031-3203(90)90116-3
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发表时间：
1990-10
期刊：
影响因子：
--
通讯作者：
Fatma El-Khaly;M. Sid-Ahmed
中科院分区：
文献类型：
--
作者：
Fatma El-Khaly;M. Sid-Ahmed
本文讨论了光学捕获的阿拉伯字符的机器识别算法的发展，并从印刷文本中分离出来。阿拉伯文文本由一组连接的或单独的字体组成。仅基于单个字符的识别算法需要补充分离算法。矩不变描述符的目的是研究识别的个别字符。同时，为了识别连续的机器印刷字符，提出了一种字符分离算法。
This paper discusses the development of algorithms for the machine recognition of optically captured Arabic characters and their isolation from the printed text. Arabic text is formed from a set of connected or individual fonts. Recognition algorithms based only on individual characters need to be supplemented with a separation algorithm. Moment-invariant descriptors are investigated for the purpose of recognition of individual characters. Meanwhile, to recognize connected machine printed characters, an algorithm for separation of individual characters is developed.