Effects of image compression on iris recognition system performance

Robert W. Ives; Randy P. Broussard; Lauren R. Kennell; David L. Soldan

doi:10.1117/1.2891313

1 January 2008 Effects of image compression on iris recognition system performance

Robert W. Ives, Randy P. Broussard, Lauren R. Kennell, David L. Soldan

Author Affiliations +

Journal of Electronic Imaging, Vol. 17, Issue 1, 011015 (January 2008). https://doi.org/10.1117/1.2891313

Abstract

The human iris is perhaps the most accurate biometric for use in identification. Commercial iris recognition systems currently can be found in several types of settings where a person’s true identity is required: to allow passengers in some airports to be rapidly processed through security; for access to secure areas; and for secure access to computer networks. The growing employment of iris recognition systems and the associated research to develop new algorithms will require large databases of iris images. If the required storage space is not adequate for these databases, image compression is an alternative. Compression allows a reduction in the storage space needed to store these iris images. This may, however, come at a cost: some amount of information may be lost in the process. We investigate the effects of image compression on the performance of an iris recognition system. Compression is performed using JPEG-2000 and JPEG, and the iris recognition algorithm used is an implementation of the Daugman algorithm. The imagery used includes both the CASIA iris database as well as the iris database collected by the University of Bath. Results demonstrate that compression up to 50:1 can be used with minimal effects on recognition.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Robert W. Ives, Randy P. Broussard, Lauren R. Kennell, and David L. Soldan "Effects of image compression on iris recognition system performance," Journal of Electronic Imaging 17(1), 011015 (1 January 2008). https://doi.org/10.1117/1.2891313

Published: 1 January 2008

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