An effective approach for iris recognition using phase-based image matching
An effective approach for iris recognition using phase-based image matching
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DOI：
10.1109/tpami.2007.70833
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发表时间：
2008-10-01
影响因子：
23.6
通讯作者：
Nakajima, Hiroshi
中科院分区：
文献类型：
--
作者：
Miyazawa, Kazuyuki;Ito, Koichi;Nakajima, Hiroshi
本文提出了一种基于相位的图像匹配虹膜识别的有效算法-一种在给定图像的二维离散傅里叶变换（DFT）中使用相位分量的图像匹配技术。使用CASIA虹膜图像数据库（版本1.0和2.0）和虹膜挑战评估（ICE）2005数据库的实验评估清楚地表明，使用虹膜图像的相位分量使得可以用简单的匹配算法实现高度准确的虹膜识别。本文还讨论了我们的算法的主要实现问题。为了减少虹膜数据的大小和防止虹膜图像的可见性，我们引入了二维傅立叶相位码（FPC）的思想来表示虹膜信息。2D FPC对于使用最先进的数字信号处理（DSP）技术实现紧凑的虹膜识别设备特别有用。
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.