使用隐马尔可夫模型识别离线印刷阿拉伯文本

Atheel Sabih Shaker
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引用次数: 3

摘要

在本文中,我们介绍了一种识别阿拉伯文印刷文本的方法,由于对印刷文本的识别在信息技术的应用中非常重要,阿拉伯文是乌尔都语、库尔德语、波斯语以及古土耳其语“奥斯曼”等一组具有相关字符的语言之一,因此很难识别相关字母,因为它在几种情况下,如单词的开头有一个形状,单词的中心有一个形状,单词的最后一个单词也有一个形状,要么在文字中没有字符连接的地方,那么字母的形象在单词的任何位置已经被采用的程序为他准备了很长时间。本文提出了一种基于隐马尔可夫模型的离线阿拉伯文文本识别系统,该系统采用将文本行分割成段再分割成字符的算法。
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Recognition of Off-line Printed Arabic Text Using Hidden Markov Models
In this paper, we introduce a method to identify the text printed in Arabic, since the recognition of the printed text is very important in the applications of information technology, the Arabic language is among a group of languages with related characters such as the language of Urdu , Kurdish language , Persian language also the old Turkish language " Ottoman ", it is difficult to identify the related letter because it is in several cases, such as the beginning of the word has a shape and center of the word has a shape and the last word also has a form, either texts in languages where the characters are not connected, then the image of the letter one in any location in the word has been Adoption of programs ready for him A long time. In this paper we present an off-line system to recognize printed Arabic text by using Hidden Markov Model with the aid  of algorithm  that segment the text line into sections and then into characters.
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