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A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition

An off-line handwriting recognition (OFHR) system is a computerized system that is capable of intelligently converting human handwritten data extracted from scanned paper documents into an equivalent text format. This paper studies a proposed OFHR for Malaysian bank cheques written in the Malay lang...

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Main Authors: Al-Boeridi, O.N., Syed Ahmad, S.M., Koh, S.P.
Format: Article
Language:en_US
Published: 2017
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spelling my.uniten.dspace-57872018-01-03T01:44:18Z A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition Al-Boeridi, O.N. Syed Ahmad, S.M. Koh, S.P. An off-line handwriting recognition (OFHR) system is a computerized system that is capable of intelligently converting human handwritten data extracted from scanned paper documents into an equivalent text format. This paper studies a proposed OFHR for Malaysian bank cheques written in the Malay language. The proposed system comprised of three components, namely a character recognition system (CRS), a hybrid decision system and lexical word classification system. Two types of feature extraction techniques have been used in the system, namely statistical and geometrical. Experiments show that the statistical feature is reliable, accessible and offers results that are more accurate. The CRS in this system was implemented using two individual classifiers, namely an adaptive multilayer feed-forward back-propagation neural network and support vector machine. The results of this study are very promising and could generalize to the entire Malay lexical dictionary in future work toward scaled-up applications. © 2015, The Natural Computing Applications Forum. 2017-12-08T07:26:10Z 2017-12-08T07:26:10Z 2015 Article 10.1007/s00521-015-1824-0 en_US Neural Computing and Applications Volume 26, Issue 6, 25 August 2015, Pages 1505-1513
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language en_US
description An off-line handwriting recognition (OFHR) system is a computerized system that is capable of intelligently converting human handwritten data extracted from scanned paper documents into an equivalent text format. This paper studies a proposed OFHR for Malaysian bank cheques written in the Malay language. The proposed system comprised of three components, namely a character recognition system (CRS), a hybrid decision system and lexical word classification system. Two types of feature extraction techniques have been used in the system, namely statistical and geometrical. Experiments show that the statistical feature is reliable, accessible and offers results that are more accurate. The CRS in this system was implemented using two individual classifiers, namely an adaptive multilayer feed-forward back-propagation neural network and support vector machine. The results of this study are very promising and could generalize to the entire Malay lexical dictionary in future work toward scaled-up applications. © 2015, The Natural Computing Applications Forum.
format Article
author Al-Boeridi, O.N.
Syed Ahmad, S.M.
Koh, S.P.
spellingShingle Al-Boeridi, O.N.
Syed Ahmad, S.M.
Koh, S.P.
A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition
author_facet Al-Boeridi, O.N.
Syed Ahmad, S.M.
Koh, S.P.
author_sort Al-Boeridi, O.N.
title A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition
title_short A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition
title_full A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition
title_fullStr A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition
title_full_unstemmed A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition
title_sort scalable hybrid decision system (hds) for roman word recognition using ann svm: study case on malay word recognition
publishDate 2017
_version_ 1644493775302557696
score 13.211869

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