An effective approach for iris recognition using phase-based image matching

被引：182

作者：

Miyazawa, Kazuyuki ^{[1
]}

Ito, Koichi ^{[1
]}

Aoki, Takafumi ^{[1
]}

Kobayashi, Koji ^{[2
]}

Nakajima, Hiroshi ^{[2
]}

机构：

[1] Tohoku Univ, Grad Sch Informat Sci, Aoba Ku, Sendai, Miyagi 9808579, Japan

[2] Yamatake Corp, Fujisawa, Kanagawa 2518522, Japan

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2008年 / 30卷 / 10期

关键词：

phase-based image matching; phase-only correlation; phase-only matched filtering; biometrics; iris recognition;

D O I：

10.1109/TPAMI.2007.70833

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an efficient algorithm for iris recognition using phase-based image matching - an image matching technique using phase components in 2D Discrete Fourier Transforms (DFTs) of given images. Experimental evaluation using the CASIA iris image databases (versions 1.0 and 2.0) and Iris Challenge Evaluation (ICE) 2005 database clearly demonstrates that the use of phase components of iris images makes it possible to achieve highly accurate iris recognition with a simple matching algorithm. This paper also discusses the major implementation issues of our algorithm. In order to reduce the size of iris data and to prevent the visibility of iris images, we introduce the idea of 2D Fourier Phase Code (FPC) for representing iris information. The 2D FPC is particularly useful for implementing compact iris recognition devices using state-of-the-art Digital Signal Processing (DSP) technology.

引用

页码：1741 / 1756

页数：16

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