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Language independent optical character recognition for hand written text

机译:与语言无关的手写文字光学字符识别

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This paper describes a novel technique for optical character recognition of handwritten text using the basic geometrical strokes contained in the alphabets of a language. It is observed that all the characters of a language can be represented as a set of connected basic geometrical strokes; thus if we break a ligature, even if the ligature contains more than one character, as in the case of cursive languages, the technique can determine/recognize the characters contained in the ligature. The recognition of characters is font independent: however it is also possible to recognize the typed characters of the standard fonts by employing this technique. Hence font based character recognition is a special case of the proposed technique. The technique was implemented by developing a C#.NET application called LIOCR (language independent optical character reader). The results obtained after applying LIOCR to 25 samples of handwritten text have also been reported.
机译:本文介绍了一种使用语言字母表中包含的基本几何笔划的手写文本的光学字符识别的新技术。观察到语言的所有字符都可以表示为一组连接的基本几何笔划;因此,如果我们打破了一个结扎,即使拼接包含一个以上的字符,就像在法学语言的情况下,该技术可以确定/识别连线中包含的字符。识别字符是字体独立:但是也可以通过采用这种技术来识别标准字体的键入字符。因此,基于字体的字符识别是所提出的技术的特殊情况。该技术是通过开发名为liocr(语言独立光学字符读取器)的C#.NET应用程序来实现。还报道了在施用LioCritte文本的应用后获得的结果。

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