Abstract
In this paper, we introduce a novel concept of illumination normalization for robust face recognition under different illumination conditions. The concept is extended from the Self Quotient Image (SQI) by which the 2D Gabor filter is applied instead of weighted Gaussian filter in order to increase more efficiency of the face recognition. Our experimental result, which is conducted on Yale face database B, has shown that our proposed method reached a very high recognition rate even in the case of extreme varying illumination. © 2008 Springer Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Srisuk, S., & Petpon, A. (2008). A gabor quotient image for face recognition under varying illumination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5359 LNCS, pp. 511–520). https://doi.org/10.1007/978-3-540-89646-3_50
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
