OCR for Gujarati Numeral using Neural Network |
Author(s): |
Manthan Khopkar , L.D.College Of Engineering, Gujarat Technological University, Ahmedabad, Gujarat |
Keywords: |
Algorithm, Neural Networks, Supervised learning, Pattern Matching. |
Abstract |
This papers functions within to reduce individuality popularity (OCR) program for hand-written Gujarati research. One can find so much of work for Indian own native different languages like Hindi, Gujarati, Tamil, Bengali, Malayalam, Gurumukhi etc., but Gujarati is a vocabulary for which hardly any work is traceable especially for hand-written individuals. Here in this work a nerve program is provided for Gujarati hand-written research popularity. This paper deals with an optical character recognition (OCR) system for handwritten Gujarati numbers. A several break up food ahead nerve program is suggested for variation of research. The functions of Gujarati research are abstracted by four different details of research. Reduction and skew- changes are also done for preprocessing of hand-written research before their variation. This work has purchased approximately 81% of performance for Gujarati handwritten numerals. |
Other Details |
Paper ID: IJSRDV1I3006 Published in: Volume : 1, Issue : 3 Publication Date: 01/06/2013 Page(s): 424-427 |
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