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Proceedings Paper

Illumination normalization for face recognition using the census transform
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Paper Abstract

A problem with face recognition is that lighting conditions can affect performance since facial features are easily distorted by varying illumination conditions. To address this problem, we present a new preprocessing method using the census transform. In the proposed method, we generate a number of binary values from the current pixel by comparing it with the neighbor pixels, and encode the binary values into a single gray scale image. Finally, we apply the principal component analysis (PCA) to the gray scale images. Experiments show that the proposed method provides promising results.

Paper Details

Date Published: 19 March 2008
PDF: 9 pages
Proc. SPIE 6814, Computational Imaging VI, 681416 (19 March 2008); doi: 10.1117/12.776193
Show Author Affiliations
Ji Hoon Kim, Yonsei Univ. (South Korea)
Jong Geun Park, Yonsei Univ. (South Korea)
Chulhee Lee, Yonsei Univ. (South Korea)


Published in SPIE Proceedings Vol. 6814:
Computational Imaging VI
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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