Online handwriting recognition using support vector machine

Abd Rahim Ahmad, Marzuki Khalid, Christian Viard-Gaudin, Emilie Poisson

Research output: Contribution to journalConference article

27 Citations (Scopus)

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.

Original languageEnglish
JournalIEEE Region 10 Annual International Conference, Proceedings/TENCON
VolumeA
Publication statusPublished - 01 Jan 2004
EventIEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering - Chiang Mai, Thailand
Duration: 21 Nov 200424 Nov 2004

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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