Publication: Online handwriting recognition using support vector machine
Date
2004
Authors
Ahmad A.R.
Khalid M.
Viard-Gaudin C.
Poisson E.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Description
Keywords
Database systems , Markov processes , Neural networks , Speech recognition , Word processing , Hidden Markov Models (HMM) , Hybrid systems , Support vector machines (SVM) , Online systems