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Bengali Handwritten character recognition modeling: A comprehensive survey

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Author Affiliations

  • 1Department of Computer Science & Engineering, Bhilail Institute of Technology, Durg, CG, India
  • 2Chhattisgarh Swami Vivekanand Technical University, Bhilai, CG, India

Res. J. Computer & IT Sci., Volume 11, Issue (1), Pages 7-11, June,20 (2023)

Abstract

Handwritten character recognition from a document image is no-doubt a challenging task and active research filed of interest because of its several application domain. It becomes more challenging in pattern recognition domain because of variability of human writing style, skew and orientation. Noises, smears and faded ink makes it more complicated. Digitization of Bengali scripts, handwritten official documents and forms demands a Bengali Optical Character Recognition (OCR) system. OCR research success has limited to very few scripts like Roman, English and Chinese. Among Indian script, In general existing Bengali handwritten character recognition system accuracy is around 90%. Bengali Handwritten Script identification is still an open and active research area. In this paper basic steps and popular approaches are discussed to indentify the handwritten Bengali character recognition process and it finds the research gap in existing systems. It also points out major issues to be considered while designing a framework for Bengali handwritten character recognition system.

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