Title :
Iris Recognition Algorithm Optimized for Hardware Implementation
Author :
Grabowski, K. ; Sankowski, W. ; Napieralska, M. ; Zubert, M. ; Napieralski, A.
Author_Institution :
Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz
Abstract :
Iris recognition is accepted as one of the most efficient biometric method. Implementing this method to the practical system requires the special image preprocessing where the iris feature extraction plays a crucial role. Recognition is preceeded by iris localization which consists in finding the iris boundaries as well as eyelids. In this paper the short introduction into iris localization and wavelet-based iris identification method optimized for embedded systems is described. Proposed solution was applied to high resolution images taken under near infrared light
Keywords :
feature extraction; image recognition; biometric method; embedded system; eyelids; image preprocessing; iris boundaries; iris feature extraction; iris localization; iris recognition algorithm; wavelet-based iris identification; Embedded system; Eyelids; Feature extraction; Hardware; Histograms; Image resolution; Image segmentation; Infrared imaging; Iris recognition; Optical reflection;
Conference_Titel :
Computational Intelligence and Bioinformatics and Computational Biology, 2006. CIBCB '06. 2006 IEEE Symposium on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0623-4
Electronic_ISBN :
1-4244-0624-2
DOI :
10.1109/CIBCB.2006.330960
