A survey on pattern recognition applications of support vector machines

Hyeran Byun, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

178 Citations (Scopus)


In this paper, we present a survey on pattern recognition applications of Support Vector Machines (SVMs). Since SVMs show good generalization performance on many real-life data and the approach is properly motivated theoretically, it has been applied to wide range of applications. This paper describes a brief introduction of SVMs and summarizes its various pattern recognition applications.

Original languageEnglish
Pages (from-to)459-486
Number of pages28
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Issue number3
Publication statusPublished - 2003 May

Bibliographical note

Funding Information:
This research was supported by the Brain Neuroinfomatics Research Program and the Creative Research Initiative Program of the Ministry of Science and Technology, Korea.


  • Face detection
  • Face recognition
  • Handwritten character recognition
  • Object recognition
  • Pattern recognition
  • Speech recognition
  • Support Vector Machines

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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