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Performance of Face Recognition Algorithms on Compressed Images



George W. Quinn, Patrick J. Grother


This report provides a comprehensive assessment of the ability of face recognition algorithms to compare compressed standard face images. Six well performing algorithms from the Multiple Biometric Evaluation (MBE) 2010 Still Face Track are used to compare face images compressed in JPEG and JPEG2000 formats. A primary goal of this report is to identify the maximum storage constraints under which verification systems can effectively operate. Toward this end, guidelines and recommendations are provided for the efficient compression and storage of face images for biometric applications.
NIST Interagency/Internal Report (NISTIR) - 7830
Report Number


face, jpeg, biometric, MBE


Quinn, G. and Grother, P. (2011), Performance of Face Recognition Algorithms on Compressed Images, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], (Accessed April 23, 2024)
Created December 1, 2011, Updated November 10, 2018