Image compression mismatch effect on color image based face recognition system

Authors:
Jae Young Choi;Yong Man Ro;Konstantinos N. Plataniotis
Affiliations:
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea;Image and Video System Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea;The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Face recognition (FR) for emerging applications such as face tagging for social networking, consumer products, and gamming utilize color images stored in distributed repositories. Such images are often in compressed format and of different dimensions. This compression mismatch problem may adversely affect the performance of the face recognition engine. In this paper, we present a comparative investigation of the image compression mismatch problem. Two commonly used color image based face recognition solutions are utilized. More than three thousand images of 341 subjects, typical of the problem, are collected from three public databases. The experimental results support the main thesis of the paper that recognition performance depends critically on the color image properties.