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...

全面介绍

Saved in:
书目详细资料
Main Authors: Ahmad A.R., Khalid M., Viard-Gaudin C., Poisson E.
其他作者: 35589598800
格式: Conference paper
出版: Institute of Electrical and Electronics Engineers Inc. 2023
主题:
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结: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.