Vol. 37, Issue 3, pp. 295-303 (2007)

Vol. 37 Issue 3 pp. 295-303

An effective iris location method with high robustness

Rongnian Tang, Jiuqiang Han, Xinman Zhang

Keywords

iris location, boundary recognition, support vector machines (SVM)

Abstract

Now, iris recognition is a topical issue. This paper focuses on iris location, which is an important stage in iris recognition, and develops a new method for that purpose. Use has been made of dilation operator in order to suppress the interference of eyelash, and support vector machines (SVM) classifier has been employed to identify the iris boundary. The results of experiment carried out on iris image database showed the method proposed to have an encouraging performance. Compared with the traditional methods, those of Daugman and Wildes, this method offers a higher correct location ratio and is more computationally efficient.

Vol. 37
Issue 3
pp. 295-303

0.85 MB

Corresponding address

Optica Applicata
Wrocław University of Science and Technology
Faculty of Fundamental Problems of Technology
Wybrzeże Wyspiańskiego 27
50-370 Wrocław, Poland

Publisher

Wrocław University of Science and Technology
Faculty of Fundamental Problems of Technology
Wybrzeże Wyspiańskiego 27
50-370 Wrocław, Poland

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  • optica.applicata@pwr.edu.pl
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