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Improved Optical Recognition of Bangla Characters

Corresponding Author : M. Shahidur Rahman (rahmanms@sust.edu)

Authors : Md. Mahbubul Haque , A.Q. M. Saiful Islam , Md. Mahadi Hasan , M. Shahidur Rahman (rahmanms@sust.edu)

Keywords : optical recognition, OCR, bangla optical character recognition

Abstract :

This paper presents a method on improved optical recognition of Bangla characters toward building a working system. The recognition process performs pre-processing of input image, segmentation of both lines, words and characters and then recognizes the characters based on the classifying criteria. Experience with OCR (Optical Character Recognition) problem teaches that for most subtasks involve in OCR, there is no single technique that gives perfect results for all the variations of printed text. Based on the features of Bangla characters, we have proposed a number of classifying features for generating an 11-digit character code which is then used to identify a particular character. Additionally, the character code is suitable of recognizing the conjuncts without breaking into their constituents. Experimental results show that the proposed algorithm can provide recognition accuracy up to 99% for regular-shaped distinct basic characters and conjuncts. This shows us a hope toward building a complete working system in Bangla. 

Published on June 30th, 2010 in Volume 12, Issue1, Applied Sciences and Technology