A novel scheme for face recognition and authentication with illumination and expression changes

Ying Nong Chen, Chin Chuan Han, Cheng Tzu Wang, Kuo Chin Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a novel scheme is proposed for face recognition or authentication against illumination, and expression variation using multimodal face features. First, a sub -image in low-frequency sub-band is extracted by a wavelet-based transform to preserve the invariant data and reduce the dimensionality. The reduced sub-image LL is partitioned into four parts for representing local features and reducing illumination effect. Sub-image LL is reduced again to obtain a full face in a smaller scale for globally representing the whole face image. Five modal feature spaces are constructed. The most discriminant common vectors (DCVs) for each classifier are found. A weighted summation is performed to fuse the five classified results. Experimental results were conducted to show that the proposed scheme is superior to other methods in terms of recognition rate and authentication rate.

Original languageEnglish
Title of host publicationProceedings of the 42nd Annual 2008 IEEE International Carnahan Conference on Security Technology, ICCST 2008
Pages259-264
Number of pages6
DOIs
StatePublished - 2008
Event42nd Annual 2008 IEEE International Carnahan Conference on Security Technology, ICCST 2008 - Prague, Czech Republic
Duration: 13 Oct 200816 Oct 2008

Publication series

NameProceedings - International Carnahan Conference on Security Technology
ISSN (Print)1071-6572

Conference

Conference42nd Annual 2008 IEEE International Carnahan Conference on Security Technology, ICCST 2008
Country/TerritoryCzech Republic
CityPrague
Period13/10/0816/10/08

Keywords

  • Clustering
  • Discrete wavelet transform
  • Discriminative common vectors
  • Face recognition

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