Comparison of compression algorithms' impact on iris recognition accuracy II: revisiting JPEG
نویسندگان
چکیده
The impact of using different lossy compression algorithms on the matching accuracy of iris recognition systems is investigated relating rate-distortion performance to the matching scores obtained by a concrete recognition system. JPEG2000 and SPIHT are found to be well suited for the compression task, followed by PRVQ, JPEG, and finally FRAC. Overall, applying compression algorithms is found to increase FNMR but does not impact FMR. Thus “only” user convenience is reduced leaving security of iris recognition systems unchanged.
منابع مشابه
Comparison of Compression Algorithms’ Impact on Iris Recognition Accuracy
The impact of using different lossy compression algorithms on the matching accuracy of iris recognition systems is investigated. In particular, we relate rate-distortion performance as measured in PSNR to the matching scores as obtained by a concrete recognition system. JPEG2000 and SPIHT are correctly predicted by PSNR to be well suited compression algorithms to be employed in iris recognition...
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