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Title: A comprehensive survey on Bangla handwritten numeral recognition

Authors: Pawan Kumar Singh; Ram Sarkar; Mita Nasipuri

Addresses: Department of Computer Science and Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Kolkata-700032, West Bengal, India ' Department of Computer Science and Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Kolkata-700032, West Bengal, India ' Department of Computer Science and Engineering, Jadavpur University, 188, Raja S.C. Mullick Road, Kolkata-700032, West Bengal, India

Abstract: Handwritten numeral recognition is one of the traditional dilemma in pattern recognition domain, and is widely used in different applications such as reading postal codes, bank cheques etc. In this paper, we present a review work on handwritten digit recognition, focusing on Bangla script, the most popular script in India. We have summarised most of the published papers on this topic and have also analysed the various methodologies and their detailed consequences. Future directions of research in handwritten digit recognition on Bangla script have also been delivered which, in turn, will provide a better platform for further research activities.

Keywords: handwritten digit recognition; Bangla script; optical character recognition; CMATERdb 3.1.1; ISI handwritten Bangla numerals database; structure-based features; texture-based features; pixel-based features.

DOI: 10.1504/IJAPR.2018.090516

International Journal of Applied Pattern Recognition, 2018 Vol.5 No.1, pp.55 - 71

Received: 04 Jul 2017
Accepted: 22 Dec 2017

Published online: 09 Mar 2018 *

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