Online handwriting recognition using support vector machine

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 [3]. Support Vector Machine (SVM) is an alternative to NN. In s...

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Bibliographic Details
Main Authors: Ahmad A.R., Khalid M., Viard-Gaudin C., Poisson E.
Other Authors: 35589598800
Format: Conference paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Database systems
Markov processes
Neural networks
Speech recognition
Word processing
Hidden Markov Models (HMM)
Hybrid systems
Support vector machines (SVM)
Online systems
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Institution: Universiti Tenaga Nasional
Description
Summary: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 [3]. 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[4]. 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. � 2004IEEE.

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