An Optimized Illumination Normalization Method for Face Recognition

Author

Holappa, Jukka ; Ahonen, Timo ; Pietikäinen, Matti

Author_Institution

Machine Vision Group, Univ. of Oulu, Oulu

fYear

2008

Firstpage

1

Lastpage

6

Abstract

Differences in illumination conditions cause significant challenges for any 2-D face recognition algorithm. One of the methods to counter these effects is image preprocessing before feature extraction. In this paper we present a new preprocessing approach that uses custom filters obtained through an optimization procedure striving for most suitable preprocessing filters for the selected feature extractor and distance measure. We experiment with it using Local Binary Pattern texture features and X² histogram distance metric. Results are provided for Face Recognition Grand Challenge (FRGC) 1.0.4 dataset.

Keywords

face recognition; feature extraction; image resolution; image texture; distance measure; face recognition; feature extraction; image preprocessing; local binary pattern texture features; optimized illumination normalization; Aging; Face detection; Face recognition; Feature extraction; Filters; Histograms; Image recognition; Lighting; Optimization methods; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on

Conference_Location

Arlington, VA

Print_ISBN

978-1-4244-2729-1

Electronic_ISBN

978-1-4244-2730-7

Type

conf

DOI

10.1109/BTAS.2008.4699368

Filename

4699368