A survey of biometric recognition methods

Biometric recognition refers to an automatic recognition of individuals based on a feature vector (s) derived from their physiological and/or behavioral characteristic. Biometric recognition systems should provide a reliable personal recognition schemes to either confirm or determine the identity of an individual. Applications of such a system include computer systems security, secure electronic banking, mobile phones, credit cards, secure access to buildings, health and social services. By using biometrics a person could be identified based on "who she/he is" rather then "what she/he has" (card, token, key) or "what she/he knows" (password, PIN). In this paper, a brief overview of biometric methods, both unimodal and multimodal, and their advantages and disadvantages, will be presented.

[1]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[2]  Sharath Pankanti,et al.  Biometric Recognition: Security and Privacy Concerns , 2003, IEEE Secur. Priv..

[3]  L. Hong,et al.  Can multibiometrics improve performance , 1999 .

[4]  Arun Ross,et al.  Multibiometric systems , 2004, CACM.

[5]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Robert P. W. Duin,et al.  Is independence good for combining classifiers? , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[7]  John Daugman,et al.  How iris recognition works , 2002, IEEE Transactions on Circuits and Systems for Video Technology.

[8]  Matteo Golfarelli,et al.  On the Error-Reject Trade-Off in Biometric Verification Systems , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Anil K. Jain,et al.  FVC2000: Fingerprint Verification Competition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Anil K. Jain,et al.  Integrating Faces and Fingerprints for Personal Identification , 1998, IEEE Trans. Pattern Anal. Mach. Intell..