Universiti Teknologi Malaysia Institutional Repository

Online handwriting recognition using support vector machine

Ahmad, Abdul Rahim (2004) Online handwriting recognition using support vector machine. In: Proceeding of The Second International Conference on Artificial Intelligence in Engineering & Technology, 2004, n/a.

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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)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:20409
Deposited By: Liza Porijo
Deposited On:10 Sep 2017 08:20
Last Modified:10 Sep 2017 08:20

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