English , Devnagari and Urdu Text Identification
نویسنده
چکیده
In a multi-lingual multi-script country like India, a single text line of a document page may contain words of two or more scripts. For the Optical Character Recognition of such a document page it is necessary to identify different scripts from the document. In this paper, an automatic technique for word -wise identification of English, Devnagari and Urdu scripts from a single document is proposed. Here, at first, the document is segmented into lines and then the lines are segmented into possible words. Using characteristics of different scripts, the identification scheme is developed.
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