Digital signal processing in biometric identification: a review

In this context, "biometrics" is the "automatic identification or identity verification of living, human individuals based on physiological and behavioral characteristics". Biometrics is a subset of the larger field of human identification science. The term "automatic" in the definition means that digital computers will usually (but not always) be used. We consider the general state of digital signal processing in biometrics by examining the computational approaches to speaker, fingerprint, and face recognition. We note the generally weak relationship between physiology and biometric "features" and the potential for use of "models" to compensate for intra-class variation.

[1]  David J. Kriegman,et al.  From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Dario Maio,et al.  Synthetic fingerprint-image generation , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[3]  B.S. Atal,et al.  Automatic recognition of speakers from their voices , 1976, Proceedings of the IEEE.

[4]  Hynek Hermansky,et al.  Human Speech Perception: Some Lessons from Automatic Speech Recognition , 2001, TSD.

[5]  MITCHELL TRAURING,et al.  Automatic Comparison of Finger-Ridge Patterns , 1963, Nature.

[6]  A.E. Rosenberg,et al.  Automatic speaker verification: A review , 1976, Proceedings of the IEEE.

[7]  Sharath Pankanti,et al.  An identity-authentication system using fingerprints , 1997, Proc. IEEE.

[8]  Takeo Kanade,et al.  Computer recognition of human faces , 1980 .