Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition

Akhand, M. A. H and Ahmed, Mahtab and Rahman, M.M. Hafizur (2016) Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition. In: 5th International Conference on Informatics, Electronics and Vision (ICIEV), 13th-14th May 2016, Dhaka, Bangladesh.

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Abstract

Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high dimensional complex task and existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, convolutional neural network (CNN) is found efficient for image classification with its distinct features. In this study, a CNN based method has been investigated for Bangla handwritten numeral recognition. A moderated pre-processing has been adopted to produce patterns from handwritten scan images. On the other hand, CNN has been trained with the patterns plus a number of artificial patterns. A simple rotation based approach is employed to generate artificial patterns. The proposed CNN with artificial pattern is shown to outperform other existing methods while tested on a popular Bangla benchmark handwritten dataset.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6724/53467
Uncontrolled Keywords:	Bangla Numeral; Convolutional Neural Network; Pattern Generation; Handwritten Numeral Recognition.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. M.M. Hafizur Rahman
Date Deposited:	21 Dec 2016 11:18
Last Modified:	26 Jun 2019 15:12
URI:	http://irep.iium.edu.my/id/eprint/53467

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