A half-eye wavelet based method for iris recognition

Author

Poursaberi, A. ; Araabi, B.N.

Author_Institution

Control & Intelligent Process. Center of Excellence, Tehran Univ., Iran

fYear

2005

fDate

8-10 Sept. 2005

Firstpage

262

Lastpage

267

Abstract

Iris detection is a crucial part of an iris recognition system. One of the main issues in iris segmentation is coping with occlusions that happen due to eyelids and eyelashes. In this paper, only the lower part of the iris is utilized for recognition. Wavelet based texture features along with a mixed Hamming; harmonic mean distance classifier is used for identification. It is observed that relying in a smaller but more reliable part of the iris, though reducing the net amount of information, improves the overall performance. Experimental results on CASIA database show that the method has a promising performance with an accuracy of more than 99%.

Keywords

biometrics (access control); eye; feature extraction; hidden feature removal; image classification; image recognition; image segmentation; image texture; wavelet transforms; CASIA database; Hamming harmonic mean distance classifier; half-eye wavelet based method; iris detection; iris recognition system; iris segmentation; occlusion; wavelet based texture feature; Biometrics; Control systems; Eyelashes; Eyelids; Feature extraction; Infrared detectors; Intelligent control; Iris recognition; Process control; Security;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on

Print_ISBN

0-7695-2286-6

Type

conf

DOI

10.1109/ISDA.2005.6

Filename

1578795