NDLI: A Practical Iris Recognition Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Qichuan Tian Zhengguang Liu Linsheng Li Zhiyi Sun
Copyright Year	2006
Description	Author affiliation: Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin (Qichuan Tian; Zhengguang Liu)
Abstract	This paper proposes an iris recognition algorithm based on 2D zero-crossing detection and similarity classifier. Whole system is consisting of eye image capture, iris boundary localization, iris region normalization, feature extraction, pattern match, and yes/no decision. In iris feature extraction stage, iris normal region is filtered by using low frequency filter firstly, then the texture features are extracted by using 2D zero-crossing detection operator, at last iris features are encoded into binary feature template. Iris pattern match can be computed by computing similarity degree of binary templates. Goodness-of-match measurement can be used to distinguish which class the sample belongs to or identify authentic or imposters. Simulation results show that this algorithm is effective.
Starting Page	392
Ending Page	395
File Size	4639610
Page Count	4
File Format	PDF
ISBN	142440570X
DOI	10.1109/ROBIO.2006.340208
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iris recognition Biometrics Feature extraction Image resolution Pattern matching Robotics and automation Image databases Charge coupled devices Charge-coupled image sensors Biomimetics pattern comparison iris recognition iris boundary localization feature extraction
Content Type	Text
Resource Type	Article

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