Online handwriting recognition using support vector machine

Discrete hidden Markov model (HMM) and hybrid of neural network (NN) and HMM are popular methods in handwritten word recognition system. The hybrid system gives better recognition result due to better discrimination capability of the NN [Y. Bengio et al., 1995]. Support vector machine (SVM) is an al...

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Main Authors: Ahmad, Abdul Rahim, Khalid, Marzuki, Viard-Gaudin, C., Poisson, E.
Format: Conference or Workshop Item
Published: 2004
Subjects:
Online Access:http://eprints.utm.my/7152/
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author Ahmad, Abdul Rahim
Khalid, Marzuki
Viard-Gaudin, C.
Poisson, E.
author_facet Ahmad, Abdul Rahim
Khalid, Marzuki
Viard-Gaudin, C.
Poisson, E.
author_sort Ahmad, Abdul Rahim
building UTeM Institutional Repository
collection Online Access
description Discrete hidden Markov model (HMM) and hybrid of neural network (NN) and HMM are popular methods in handwritten word recognition system. The hybrid system gives better recognition result due to better discrimination capability of the NN [Y. Bengio et al., 1995]. Support vector machine (SVM) is an alternative to NN. In speech recognition (SR), SVM has been successfully used in the context of a hybrid SVM/HMM system. It gives a better recognition result compared to the system based on hybrid NN/HMM [A. Ganapathiraju, January 2002]. This paper describes the work in developing a hybrid SVM/HMM OHR system. Some preliminary experimental results of using SVM with RBF kernel on IRONOFF, UNIPEN and IRONOFF- UNIPEN character database are provided.
first_indexed 2025-11-15T20:57:33Z
format Conference or Workshop Item
id utm-7152
institution Universiti Teknologi Malaysia
institution_category Local University
last_indexed 2025-11-15T20:57:33Z
publishDate 2004
recordtype eprints
repository_type Digital Repository
spelling utm-71522017-09-10T08:18:37Z http://eprints.utm.my/7152/ Online handwriting recognition using support vector machine Ahmad, Abdul Rahim Khalid, Marzuki Viard-Gaudin, C. Poisson, E. QA75 Electronic computers. Computer science Discrete hidden Markov model (HMM) and hybrid of neural network (NN) and HMM are popular methods in handwritten word recognition system. The hybrid system gives better recognition result due to better discrimination capability of the NN [Y. Bengio et al., 1995]. Support vector machine (SVM) is an alternative to NN. In speech recognition (SR), SVM has been successfully used in the context of a hybrid SVM/HMM system. It gives a better recognition result compared to the system based on hybrid NN/HMM [A. Ganapathiraju, January 2002]. This paper describes the work in developing a hybrid SVM/HMM OHR system. Some preliminary experimental results of using SVM with RBF kernel on IRONOFF, UNIPEN and IRONOFF- UNIPEN character database are provided. 2004 Conference or Workshop Item PeerReviewed Ahmad, Abdul Rahim and Khalid, Marzuki and Viard-Gaudin, C. and Poisson, E. (2004) Online handwriting recognition using support vector machine. In: IEEE Region 10 Annual International Conference, 21-24 Nov. 2004, Selangor. http://dx.doi.org/10.1109/TENCON.2004.1414419
spellingShingle QA75 Electronic computers. Computer science
Ahmad, Abdul Rahim
Khalid, Marzuki
Viard-Gaudin, C.
Poisson, E.
Online handwriting recognition using support vector machine
title Online handwriting recognition using support vector machine
title_full Online handwriting recognition using support vector machine
title_fullStr Online handwriting recognition using support vector machine
title_full_unstemmed Online handwriting recognition using support vector machine
title_short Online handwriting recognition using support vector machine
title_sort online handwriting recognition using support vector machine
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/7152/
http://eprints.utm.my/7152/