Full hardware solution for processing iris biometrics

As security is becoming one of the most important concerns in information society, the use of biometrics is increasing everyday. Iris recognition is a biometric technique that presents low error rates with simpler matching algorithms than other biometrics techniques. Unfortunately feature extraction methods with iris biometrics are computational cost consuming. When developing new identification tokens, computational cost and processing time should be reduced, to provide cheaper devices, which could allow a viable solution in a commercial system. The authors, in this paper develop a different hardware solution to be applied to a biometric token, which provides lower processing time and higher security than commercial systems

[1]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  J. Liu-Jimenez,et al.  Biometric co-processor for an authentication system using iris biometrics , 2004, 38th Annual 2004 International Carnahan Conference on Security Technology, 2004..

[3]  R. Sanchez-Reillo,et al.  Multiscale analysis for iris biometrics , 2002, Proceedings. 36th Annual 2002 International Carnahan Conference on Security Technology.

[4]  Tieniu Tan,et al.  Iris recognition using circular symmetric filters , 2002, Object recognition supported by user interaction for service robots.

[5]  Wageeh Boles,et al.  Recognition of 2D object contours using the wavelet transform zero-crossing representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Dexin Zhang,et al.  Efficient iris recognition by characterizing key local variations , 2004, IEEE Transactions on Image Processing.