Effects of image compression on iris recognition performance and image quality

• NCJ Number: 305420
• Author(s): Robert W. Ives; Daniel A. D. Bishop ; Yingzi Du ; Craig Belcher
• Date Published: 2009
• Length: 6 pages
• Grant Number(s): 2007-DE-BX-K182
• Sponsoring Agency: National Institute of Justice (NIJ)
• Publication Format: Article
• Language: English
• Country: United States of America
• Note: 2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, 2009, pp. 16-21

Abstract

With iris recognition gaining support as one of the most accurate means of human identification, its use is expanding globally. The number of researchers developing algorithms for iris recognition is increasing, and more iris image databases are available for their research. Developing algorithms that work effectively over a wide range of conditions requires a large assortment of iris images captured under varying and extreme conditions. This means that the size of the databases from which to conduct research is increasing. (Publisher abstract provided)