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dc.contributor.authorHasnat, Md. Abul
dc.contributor.authorHabib, S. M. Murtoza
dc.contributor.authorKhan, Mumit
dc.date.accessioned2010-10-27T04:32:33Z
dc.date.available2010-10-27T04:32:33Z
dc.date.copyright2008
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/10361/641
dc.descriptionIncludes bibliographical references (page 5).
dc.description.abstractAbstract-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.format.extent5 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.subjectBangla language processing
dc.subjectBangla OCR
dc.titleA high performance domain specific OCR for Bangla scripten_US
dc.typeTechnical reporten_US
dc.contributor.departmentCenter for Research on Bangla Language Processing (CRBLP), BRAC University


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