Universiti Teknologi Malaysia Institutional Repository

Online handwriting recognition using support vector machine

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.

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Official URL: http://dx.doi.org/10.1109/TENCON.2004.1414419


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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:handwriting recognition,hidden Markov models,radial basis function networks,support vector machines
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:7152
Deposited By: Surayahani Abu Bakar
Deposited On:20 Jan 2009 07:47
Last Modified:10 Sep 2017 08:18

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