NDLI: Effects of image compression on iris recognition performance and image quality

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Author index

Effects of image compression on iris recognition performance and image quality

Content Provider	IEEE Xplore Digital Library
Author	Ives, R.W. Bishop, D.A.D. Yingzi Du Belcher, C.
Copyright Year	2009
Description	Author affiliation: Indiana University-Purdue University Indianapolis, 46202, USA (Yingzi Du; Belcher, C.) \|\| Georgia Institute of Technology, Atlanta, 30332 USA (Bishop, D.A.D.) \|\| U.S. Naval Academy, Annapolis, MD 21402, USA (Ives, R.W.)
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. This paper investigates the effects of image compression on recognition system performance using a commercial iris recognition algorithm along with JPEG-2000 compression, and links these to an image quality metric. We use the ICE iris database in this research.
Starting Page	16
Ending Page	21
File Size	1418478
Page Count	6
File Format	PDF
ISBN	9781424427734
DOI	10.1109/CIB.2009.4925681
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Image coding Image recognition Image databases Humans Gray-scale Ice Image storage Iris recognition Testing
Content Type	Text
Resource Type	Article

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