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Browsing Centre for Research on Bangla Language Processing (CRBLP) by Author "Hasnat, Md. Abul"

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Browsing Centre for Research on Bangla Language Processing (CRBLP) by Author "Hasnat, Md. Abul"

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  • Hasnat, Md. Abul; Habib, S. M. Murtoza; Khan, Mumit (Center for research on Bangla language processing (CRBLP), BRAC University, 2008)
    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 ...
  • Hasnat, Md. Abul; Habib, S. M. Murtoza; Khan, Mumit (Center for research on Bangla language processing (CRBLP), 2007)
    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 ...
  • Hasnat, Md. Abul; Chowdhury, Muttakinur Rahman; Khan, Mumit (Center for research on Bangla language processing (CRBLP), BRAC University, 2009)
    Tesseract is considered one of the most accurate free software OCR engines currently available. It was originally developed by Hewlett-Packard from 1985 until 1995, and is currently maintained by Google. At present, Tesseract ...
  • Hasnat, Md. Abul; Mowla, Jabir; Khan, Mumit (Center for research on Bangla language processing (CRBLP), 2007)
    Research on automatic speech recognition has been approach progressively since 1930 and the major advances are since 1980 with the introduction of the statistical modeling of speech with the key technology Hidden Markov ...
  • Hasnat, Md. Abul (Center for research on Bangla language processing (CRBLP), BRAC University, 2007)
    In this paper we present the training and recognition mechanism of a Hidden Markov Model (HMM) based multi-font Optical Character Recognition (OCR) system for Bengali character. In our approach, the central idea is to ...
  • Hasnat, Md. Abul; Khan, Mumit (Center for research on Bangla language processing (CRBLP), 2009)
    Segmentation is the most challenging part of Bangla optical character recognition (OCR). To solve the problems of joining errors, several algorithms have been proposed in the literature, with varying degrees of accuracy. ...
  • Hasnat, Md. Abul; Habib, S. M. Murtoza; Khan, Mumit (Center for research on Bangla language processing (CRBLP), BRAC University, 2007)
    The wide area of the application of HMM is in Speech Recognition where each spoken word is considered as a single unit to be recognized from the trained word network. Using this concept some research has been done for ...

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