NDLI: A half-eye wavelet based method for iris recognition

Content Provider	IEEE Xplore Digital Library
Author	Poursaberi, A. Araabi, B.N.
Copyright Year	2005
Description	Author affiliation: Control & Intelligent Process. Center of Excellence, Tehran Univ., Iran (Poursaberi, A.; Araabi, B.N.)
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%.
Sponsorship	World Federation on Soft Comput. European Soc. for Fuzzy Logic and Technol. European Neural Network Soc. The Warsaw School of Social Psychology (SWPS) Polish Minist. of Sci. Res. and Inf. Technol
Starting Page	262
Ending Page	267
File Size	3578171
Page Count	6
File Format	PDF
ISBN	0769522866
DOI	10.1109/ISDA.2005.6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-08
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Infrared detectors Eyelashes Process control Eyelids Feature extraction Control systems Security Iris recognition Intelligent control
Content Type	Text
Resource Type	Article

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