A New Method for Iris Localization

Author

Lu, J. ; Xie, M.

Author_Institution

Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2007

fDate

23-25 May 2007

Firstpage

2354

Lastpage

2357

Abstract

Iris localization is one of the most important steps in iris recognition system and determines the accuracy of matching. In this paper, a new method for iris localization is proposed. Firstly, we adopt edge points detecting to find out the iris´ inner boundary. Next, using the SUSAN(smallest unvalued segment assimilating nucleus) edge detector, the coarse outer boundary will been found, and then obtain four edge points through four certain directions. Finally, we compare the four edge points and find out the outer boundary. The algorithm is proved to be effective through our experiments on 2400 iris images from CASIA (The Institute of Automation, Chinese Academy of Sciences) database.

Keywords

biometrics (access control); edge detection; eye; image recognition; CASIA database; Chinese Academy of Sciences; SUSAN edge detector; The Institute of Automation; coarse outer boundary; edge points detection; iris images; iris inner boundary; iris localization; iris recognition system; smallest unvalued segment assimilating nucleus; Industrial electronics; Iris; Iris localization; SUSAN edge detection; iris recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0737-8

Electronic_ISBN

978-1-4244-0737-8

Type

conf

DOI

10.1109/ICIEA.2007.4318831

Filename

4318831