Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10907
Title: An analysis of iriscode
Authors: Kong, AWK
Zhang, D 
Kamel, MS
Keywords: Biometrics
Daugman algorithm
Gabor filter
Iris recognition
Palmprint recognition
Phase
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2010, v. 19, no. 2, 5276817, p. 522-532 How to cite?
Journal: IEEE transactions on image processing 
Abstract: IrisCode is an iris recognition algorithm developed in 1993 and continuously improved by Daugman. It has been extensively applied in commercial iris recognition systems. IrisCode representing an iris based on coarse phase has a number of properties including rapid matching, binomial impostor distribution and a predictable false acceptance rate. Because of its successful applications and these properties, many similar coding methods have been developed for iris and palmprint identification. However, we lack a detailed analysis of IrisCode. The aim of this paper is to provide such an analysis as a way of better understanding IrisCode, extending the coarse phase representation to a precise phase representation, and uncovering the relationship between IrisCode and other coding methods. Our analysis demonstrates that IrisCode is a clustering algorithm with four prototypes; the locus of a Gabor function is a 2-D ellipse with respect to a phase parameter and can be approximated by a circle in many cases; Gabor function can be considered as a phase-steerable filter and the bitwise hamming distance can be regarded as a bitwise phase distance. We also discuss the theoretical foundation of the impostor binomial distribution. We use this analysis to develop a precise phase representation which can enhance accuracy. Finally, we relate IrisCode and other coding methods.
URI: http://hdl.handle.net/10397/10907
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2009.2033427
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