An efficcient and reliable algorithm for iris recognition based on Gabor filters

Author

Nadia, F. ; Hamrouni, Kamel

Author_Institution

ENIT, Tunis

fYear

2009

fDate

23-26 March 2009

Firstpage

1

Lastpage

6

Abstract

This paper presents a personal identification method based on iris. The method includes three steps. In the first one, the eye image is processed in order to obtain a segmented and normalized eye image. This is done by projection profiles, Hough transform and polar transformation. In the second step, the iris image is analyzed by a set of 16 Gabor filters. A signature vector composed of 96 features is obtained. In the third step, iris matching is based on the Euclidean distance between the two corresponding iris vectors. The method has been tested on Casia database. The obtained results show that the method is fast and reliable to segment and to recognize iris image.

Keywords

Gabor filters; Hough transforms; biometrics (access control); image recognition; image segmentation; image texture; Casia database; Euclidean distance; Gabor filter; Hough transform; image segmentation; image texture; iris matching; iris recognition; personal identification method; polar transformation; projection profile; signature vector; Biometrics; Euclidean distance; Gabor filters; Image edge detection; Image recognition; Image segmentation; Iris recognition; Testing; Waveguide discontinuities; Wavelet transforms; Biometry; Gabor filters; Hough; iris; texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on

Conference_Location

Djerba

Print_ISBN

978-1-4244-4345-1

Electronic_ISBN

978-1-4244-4346-8

Type

conf

DOI

10.1109/SSD.2009.4956762

Filename

4956762