Low resolution face recognition based on support vector data description

Sang Woong Lee, Jooyoung Park, Seong Whan Lee

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD, which is one of the most well-known support vector learning methods for the one-class problem. The proposed method can recognize a person even with a low-resolution image.

Original languageEnglish
Pages (from-to)1809-1812
Number of pages4
JournalPattern Recognition
Volume39
Issue number9
DOIs
Publication statusPublished - 2006 Sep 1

Fingerprint

Data description
Face recognition
Image resolution

Keywords

  • Face recognition
  • Image enhancement
  • Low resolution
  • Support vector data description (SVDD)

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Low resolution face recognition based on support vector data description. / Lee, Sang Woong; Park, Jooyoung; Lee, Seong Whan.

In: Pattern Recognition, Vol. 39, No. 9, 01.09.2006, p. 1809-1812.

Research output: Contribution to journalArticle

Lee, Sang Woong ; Park, Jooyoung ; Lee, Seong Whan. / Low resolution face recognition based on support vector data description. In: Pattern Recognition. 2006 ; Vol. 39, No. 9. pp. 1809-1812.
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