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Research Paper | Computer Science & Engineering | Bangladesh | Volume 4 Issue 11, November 2015

Bangla Hand Written Character Recognition

Md. Shahiduzzaman

Abstract: This paper discusses the different methods for optical character recognition (OCR), which has been an important field to research from a few decades due its huge necessity to convert paper documents or books in computer readable format. Though Bangla (widely used as Bengali) is one of the top uses language among the other languages, but there is no reliable character recognizer for this. Our work has covered a total process to develop a complete OCR, especially for feature extraction process, which is very important to recognize characters correctly. Here, we have developed and tested many algorithms to identify each ones merits and limitations in various cases for hand written character recognition to make the stage more optimized. Moreover, we have used hidden Markov model (HMM) classifier along with artificial neural network (ANN) to make our classifier more accurate.

Keywords: OCR, ANN, HMM, features

Edition: Volume 4 Issue 11, November 2015,

Pages: 949 - 952

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