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Gujarati Character Recognition: A Brief Survey

Author(s):

Anandwani Sujata , Noble Group of Institution, Gujarat, India; Nirali Mankad, Noble Group of Institution, Gujarat, India; Nidhi Gondalia, Noble Group of Institution, Gujarat, India

Keywords:

Pattern Recognition, Optical Character Recognition, Template matching, Artificial Neural Networks

Abstract

English Character Recognition techniques expanded in the field of pattern recognition research in the recent years and its progress is quite high. But for Indian regional languages are it is still emerging approach and progress is too slow. In Gujarat, so many of people use Gujarati in speaking and writing. Nowadays the entire world is digitized. We can see substantial demand of digital documentation in any field like postal services, data entry, publishing house, automation, and banking systems. In the field of research neural network is one of the largest domain that can be implemented in number of day to day activity problems. One of the important application of neural network is classification. Classification means shorting of any data or entity. It may be using computer, classification of peanuts, classification of letters in post office, recognition of disease from MRI image, or it may be classification or recognition of characters. A brief history of OCR, various approaches and progress to character recognition for Gujarati Language along with their status is also discussed in this paper.

Other Details

Paper ID: IJSRDV2I10142
Published in: Volume : 2, Issue : 10
Publication Date: 01/01/2015
Page(s): 238-241

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