Atul, Swamy Saran and Mishra, Swapneel Prasanth (2007) Hand Written Devnagari Character Recognition. BTech thesis.
Artificial Intelligence, giving machines the human like abilities, has remained one of the most challenging areas in Electronic sciences in last few decades. Giving machine the power to see, interpret and the ability to read text is one of the major tasks of AI.A lot of work has been done in this field, but still the problem is not solved in its full complexity. A good text recognizer has many commercial and practical applications, e.g. from searching data in scanned book to automation of any organization, like post office, which involve manual task of interpreting text. The problem of text recognition has been attempted by many different approaches. Template matching is one of the simplest approaches. In this many templates of each word are maintained for a input image, error or difference with each template is computed. The symbol corresponding to minimum error is output. The technique works effectively for recognition of standard fonts, but gives poor performance with hand written characters
|Artificial Intelligence. OCR for Hindi characters
|Engineering and Technology > Electronics and Communication Engineering > Optical Character Recognition
|Engineering and Technology > Department of Electronics and Communication Engineering
|05 May 2009 15:28
|06 May 2009 03:31
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