Wavelet-histogram method for face recognition

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Identification of individuals on the basis of facial features is the most natural method of distinguishing one individual from another. In this paper, we propose novel histogram and wavelet-histogram methods as means of identifying individuals in a mugshot application. We note that these methods are suitable for real time implementation and provide a high degree of tolerance towards facial expression changes.

Original languageEnglish (US)
Pages (from-to)217-225
Number of pages9
JournalJournal of Electronic Imaging
Volume9
Issue number2
StatePublished - Apr 2000
Externally publishedYes

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Face recognition
histograms

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

Cite this

Wavelet-histogram method for face recognition. / David, Afshin; Panchanathan, Sethuraman.

In: Journal of Electronic Imaging, Vol. 9, No. 2, 04.2000, p. 217-225.

Research output: Contribution to journalArticle

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