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A high performance domain specific OCR for Bangla script

Show simple item record Hasnat, Md. Abul Habib, S. M. Murtoza Khan, Mumit 2010-10-04T10:44:46Z 2010-10-04T10:44:46Z 2007 2007
dc.description Includes bibliographical references (page 5).
dc.description.abstract Research on recognizing Bengali script has been started since mid 1980’s. A variety of different techniques have been applied and the performance is examined. In this paper we present a high performance domain specific OCR for recognizing Bengali script. We select the training data set from the script of the specified domain. We choose Hidden Markov Model (HMM) for character classification due to its simple and straightforward way of representation. We examine the primary error types that mainly occurred at preprocessing level and carefully handled those errors by adding special error correcting module as a part of recognizer. Finally we added a dictionary and some error specific rules to correct the probable errors after the word formation is done. The entire technique significantly increases the performance of the OCR for a specific domain to a great extent. en_US
dc.description.statementofresponsibility Md. Abul Hasnat
dc.description.statementofresponsibility S. M. Murtoza Habib
dc.description.statementofresponsibility Mumit Khan
dc.format.extent 5 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.subject Optical character reader (OCR)
dc.subject Bangla language processing
dc.title A high performance domain specific OCR for Bangla script en_US
dc.type Article en_US
dc.contributor.department Center for Research on Bangla Language Processing (CRBLP), BRAC University

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