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PUBLICATIONS

Performance of Face Recognition Algorithms on Compressed Images

Published

Author(s)

George W. Quinn, Patrick J. Grother

Abstract

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.
Citation
NIST Interagency/Internal Report (NISTIR) - 7830
Report Number
7830
NIST Pub Series
NIST Interagency/Internal Report (NISTIR)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.7830

Keywords

face, jpeg, biometric, MBE
Biometrics

Citation

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], https://doi.org/10.6028/NIST.IR.7830 (Accessed June 8, 2023)

Created December 1, 2011, Updated November 10, 2018