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Iris recognition based on elastic graph matching and Gabor wavelets
Faculty
Science
Year:
2011
Type of Publication:
Article
Pages:
1239-1244
Authors:
Farouk, R. M
DOI:
10.1016/j.cviu.2011.04.002
Journal:
COMPUTER VISION AND IMAGE UNDERSTANDING ACADEMIC PRESS INC ELSEVIER SCIENCE
Volume:
115
Research Area:
Computer Science; Engineering
ISSN
ISI:000292020900012
Keywords :
Iris recognition, Segmentation, Graph matching, Feature extraction, Gabor wavelets
Abstract:
In this paper, we present a new method for iris recognition based on elastic graph matching and Gabor wavelets. We have used the circular Hough transform to determine the iris boundaries. Individual segmented irises are represented as labeled graphs. Nodes are labeled with jets; edges are labeled with distance vectors. A similarity function is defined to compare two graphs, taking into account the similarities of individual jets and the relative distortion of the graphs. For matching and recognition, only jets referring to corresponding points are compared. Recognition results are given for galleries of irises from CASIA version 1 and UBIRIS databases. The numerical results show that, the elastic graph matching is a effective technique for iris matching process. We also compare our results with previous results and find out that, the elastic graph matching is an effective matching performance. (C) 2011 Elsevier Inc. All rights reserved.
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