NDLI: On a Local Ordinal Binary Extension to Gabor Wavelet-Based Encoding for Improved Iris Recognition

Content Provider	IEEE Xplore Digital Library
Author	Jinyu Zuo Schmid, N.A.
Copyright Year	2007
Description	Author affiliation: West Virginia Univ., Morgantown (Jinyu Zuo; Schmid, N.A.)
Abstract	Daugman's iris recognition algorithm introduced in early 90s and later undergoing continuous refinements remains potentially the most efficient and scalable in iris field. The encoding part of the algorithm relies on application of Gabor wavelets that in terms of their imaging capabilities mimic capabilities of human eye receptor field. In this work, we design and test an algorithm that can be used both individually and as a natural extension scheme to Gabor wavelet-based algorithm. It is based on the local ordinal information extracted from original unfiltered images. This scheme holds a number of promises: (1) it is robust with respect to a number of nonidealities in iris images and (2) because of the binary nature of the local ordinal information this scheme can be flawlessly integrated into the traditional filter-based recognition systems. The proposed scheme was extensively tested individually and when combined with Gabor wavelet-based approach.
Starting Page	1
Ending Page	6
File Size	3534659
Page Count	6
File Format	PDF
ISBN	9781424415489
DOI	10.1109/BCC.2007.4430553
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Humans Information filters Encoding Robustness Information filtering Data mining Gabor filters Iris recognition Testing
Content Type	Text
Resource Type	Article

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