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    A high performance domain specific OCR for Bangla script

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    A High Performance Domain Specific OCRF or Bangla Script.pdf (311.8Kb)
    Date
    2008
    Publisher
    BRAC University
    Author
    Hasnat, Md. Abul
    Habib, S. M. Murtoza
    Khan, Mumit
    Metadata
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    URI
    http://hdl.handle.net/10361/641
    Abstract
    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.
    Keywords
    Bangla language processing; Bangla OCR
     
    Description
    Includes bibliographical references (page 5).
    Department
    Center for Research on Bangla Language Processing (CRBLP), BRAC University
    Collections
    • Technical Papers (Centre for Research on Bangla Language Processing)

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