Title :
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
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on
Print_ISBN :
0-7695-2286-6
DOI :
10.1109/ISDA.2005.6
