Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8313
Title: The relative distance of key point based iris recognition
Authors: Yu, L
Zhang, D 
Wang, K
Keywords: Gabor filter
Iris recognition
Key point
Relative distance
Issue Date: 2007
Publisher: Elsevier
Source: Pattern recognition, 2007, v. 40, no. 2, p. 423-430 How to cite?
Journal: Pattern recognition 
Abstract: Iris recognition has received increasing attention in recent years as a reliable approach to human identification. This paper makes an attempt to analyze the local feature structure of iris texture information based on the relative distance of key points. When preprocessed, the annular iris is normalized into a rectangular block. Multi-channel 2-D Gabor filters are used to capture the iris texture. In every filtered sub-image, we extract the points that can represent the local texture most effectively in each channel. The barycenter of these points in each channel is called the key point and a group of key points are obtained. Then, the distance between the center of key points of each sub-image and every key point is called relative distance, which is regarded as the iris feature vector. Iris feature matching is based on the Euclidean distance. Experimental results on public and private databases show that the performance of the proposed method is encouraging.
URI: http://hdl.handle.net/10397/8313
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2006.03.008
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