Illumination normalization for face recognition using the census transform

Ji Hoon Kim; Jong Geun Park; Chulhee Lee

doi:10.1117/12.776193

19 March 2008 Illumination normalization for face recognition using the census transform

Ji Hoon Kim, Jong Geun Park, Chulhee Lee

Proceedings Volume 6814, Computational Imaging VI; 681416 (2008) https://doi.org/10.1117/12.776193
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Ji Hoon Kim, Jong Geun Park, and Chulhee Lee "Illumination normalization for face recognition using the census transform", Proc. SPIE 6814, Computational Imaging VI, 681416 (19 March 2008); https://doi.org/10.1117/12.776193

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