JPEG Quantization Table Design for Face Images and Its Application to Face Recognition

Gu-Min JEONG  Chunghoon KIM  Hyun-Sik AHN  Bong-Ju AHN  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E89-A   No.11   pp.2990-2993
Publication Date: 2006/11/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e89-a.11.2990
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Image Media Quality)
JPEG,  quantization table,  face image,  face recognition,  

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This paper proposes a new codec design method based on JPEG for face images and presents its application to face recognition. Quantization table is designed using the R-D optimization for the Yale face database. In order to use in the embedded systems, fast codec design is also considered. The proposed codec achieves better compression rates than JPEG codec for face images. In face recognition experiments using the linear discriminant analysis (LDA), the proposed codec shows better performance than JPEG codec.