Bangla handwritten character recognition using convolutional neural network

Rahman, Md. Mahbubar and Akhand, Md. Aminul Haque and Islam, Shahidul and Shill, Pintu Chandra and Rahman, M.M. Hafizur (2015) Bangla handwritten character recognition using convolutional neural network. International Journal of Image, Graphics and Signal Processing, 7 (8). pp. 52-59. ISSN 2074-9082 (O), 2074-9074(P)

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Abstract

Handwritten character recognition complexity varies among different languages due to distinct shapes, strokes and number of characters. Numerous works in handwritten character recognition are available for English with respect to other major languages such as Bangla. Existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, Convolutional Neural Network (CNN) is found efficient for English handwritten character recognition. In this paper, a CNN based Bangla handwritten character recognition is investigated. The proposed method normalizes the written character images and then employ CNN to classify individual characters. It does not employ any feature extraction method like other related works. 20000 handwritten characters with different shapes and variations are used in this study. The proposed method is shown satisfactory recognition accuracy and outperformed some other prominent exiting methods.

Item Type:	Article (Journal)
Additional Information:	6724/43592
Uncontrolled Keywords:	Handwritten Character Recognition, Bangla, Convolutional Neural Network
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
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
Depositing User:	Dr. M.M. Hafizur Rahman
Date Deposited:	14 Jul 2015 09:02
Last Modified:	09 Nov 2017 17:19
URI:	http://irep.iium.edu.my/id/eprint/43592

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