Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition

Xiao-Sheng Zhuang; Dao-Qing Dai

doi:10.1016/j.patcog.2005.02.011

Author(s)

Xiao-Sheng Zhuang
Dao-Qing Dai

Detail(s)

Original language	English
Pages (from-to)	2192-2194
Journal / Publication	Pattern Recognition
Volume	38
Issue number	11
Publication status	Published - Nov 2005
Externally published	Yes

Link(s)

DOI	DOI https://doi.org/10.1016/j.patcog.2005.02.011 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-24044501907&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(a68c5d00-b152-489c-8d95-3fe614937fcf).html

Abstract

This paper addresses the small sample size problem in linear discriminant analysis, which occurs in face recognition applications. Belhumeur et al. [IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997) 711-720] proposed the FisherFace method. We find out that the FisherFace method might fail since after the PCA transform the corresponding within class covariance matrix can still be singular, this phenomenon is verified with the Yale face database. Hence we propose to use an inverse Fisher criteria. Our method works when the number of training images per class is one. Experiment results suggest that this new approach performs well. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Research Area(s)

Face recognition, Inverse Fisher discriminate criteria, Linear discriminant analysis, Small sample size problem

Citation Format(s)

[ RIS ] [ BibTeX ]

Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition. / Zhuang, Xiao-Sheng; Dai, Dao-Qing.
In: Pattern Recognition, Vol. 38, No. 11, 11.2005, p. 2192-2194.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Zhuang, X-S & Dai, D-Q 2005, 'Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition', Pattern Recognition, vol. 38, no. 11, pp. 2192-2194. https://doi.org/10.1016/j.patcog.2005.02.011

Zhuang, X.-S., & Dai, D.-Q. (2005). Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition. Pattern Recognition, 38(11), 2192-2194. https://doi.org/10.1016/j.patcog.2005.02.011

Zhuang XS, Dai DQ. Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition. Pattern Recognition. 2005 Nov;38(11):2192-2194. doi: 10.1016/j.patcog.2005.02.011

Zhuang, Xiao-Sheng ; Dai, Dao-Qing. / Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition. In: Pattern Recognition. 2005 ; Vol. 38, No. 11. pp. 2192-2194.