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For automatic recognition of Bangla script, only a few studies are reported in the literature, which is in contrast to the role of Bangla as one of the world’s major scripts. In this paper we present a new approach to online Bangla handwriting recognition and one of the first to consider cursively written words instead of isolated characters. Our method uses a sub stroke level feature representation of the script and a writing model based on hidden Markov models.

Added on September 6, 2017

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  • Contributed by : OHWR Consortium
  • Product Type : Research Paper
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  • Author : Gernot A. Fink,Szilard Vajda,Ujjwal Bhattacharya,Swapan K. Parui,Swapan K. Parui
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