Comparison of compression algorithms' impact on iris recognition accuracy II: revisiting JPEG

Stefan Jenisch; Stefan Lukesch; Andreas Uhl

doi:10.1117/12.766360

18 March 2008 Comparison of compression algorithms' impact on iris recognition accuracy II: revisiting JPEG

Stefan Jenisch, Stefan Lukesch, Andreas Uhl

Proceedings Volume 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X; 68190M (2008) https://doi.org/10.1117/12.766360
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

The impact of using different lossy compression algorithms on the recognition accuracy of iris recognition systems is investigated. In particular, we consider the general purpose still image compression algorithms JPEG, JPEG2000, SPIHT, and PRVQ and assess their impact on ROC of two different iris recognition systems when applying compression to iris sample data.

Citation Download Citation

Stefan Jenisch, Stefan Lukesch, and Andreas Uhl "Comparison of compression algorithms' impact on iris recognition accuracy II: revisiting JPEG", Proc. SPIE 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 68190M (18 March 2008); https://doi.org/10.1117/12.766360

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available