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

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 Ban...

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Main Authors:	Akhand, M. A. H, Ahmed, Mahtab, Rahman, M.M. Hafizur
Format:	Conference or Workshop Item
Language:	English English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/53467/ http://irep.iium.edu.my/53467/ http://irep.iium.edu.my/53467/ http://irep.iium.edu.my/53467/7/53467.pdf http://irep.iium.edu.my/53467/13/53467_Convolutional%20neural%20network%20training%20with%20artificial%20pattern_SCOPUS%202016.pdf http://irep.iium.edu.my/53467/19/53467_Convolutional%20neural%20network%20training_WOS.pdf

id	iium-53467
recordtype	eprints
spelling	iium-534672019-06-26T07:12:54Z http://irep.iium.edu.my/53467/ Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition Akhand, M. A. H Ahmed, Mahtab Rahman, M.M. Hafizur TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. Institute of Electrical and Electronics Engineers Inc. 2016-12-01 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/53467/7/53467.pdf application/pdf en http://irep.iium.edu.my/53467/13/53467_Convolutional%20neural%20network%20training%20with%20artificial%20pattern_SCOPUS%202016.pdf application/pdf en http://irep.iium.edu.my/53467/19/53467_Convolutional%20neural%20network%20training_WOS.pdf 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. http://ieeexplore.ieee.org/document/7760077/ 10.1109/ICIEV.2016.7760077
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Akhand, M. A. H Ahmed, Mahtab Rahman, M.M. Hafizur Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
description	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.
format	Conference or Workshop Item
author	Akhand, M. A. H Ahmed, Mahtab Rahman, M.M. Hafizur
author_facet	Akhand, M. A. H Ahmed, Mahtab Rahman, M.M. Hafizur
author_sort	Akhand, M. A. H
title	Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
title_short	Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
title_full	Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
title_fullStr	Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
title_full_unstemmed	Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
title_sort	convolutional neural network training with artificial pattern for bangla handwritten numeral recognition
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2016
url	http://irep.iium.edu.my/53467/ http://irep.iium.edu.my/53467/ http://irep.iium.edu.my/53467/ http://irep.iium.edu.my/53467/7/53467.pdf http://irep.iium.edu.my/53467/13/53467_Convolutional%20neural%20network%20training%20with%20artificial%20pattern_SCOPUS%202016.pdf http://irep.iium.edu.my/53467/19/53467_Convolutional%20neural%20network%20training_WOS.pdf
first_indexed	2023-09-18T21:15:38Z
last_indexed	2023-09-18T21:15:38Z
_version_	1777411543028203520

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

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