Fingerprint classification: a review

Authors:
Neil Yager;Adnan Amin
Affiliations:
University of New South Wales, School of Computer Science and Engineering, Australia;University of New South Wales, School of Computer Science and Engineering, Australia
Venue:
Pattern Analysis & Applications
Year:
2004

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Abstract

Biometrics is the automatic identification of an individual that is based on physiological or behavioural characteristics. Due to its security-related applications and the current world political climate, biometrics is currently the subject of intense research by both private and academic institutions. Fingerprints are emerging as the most common and trusted biometric for personal identification. The main objective of this paper is to review the extensive research that has been done on fingerprint classification over the last four decades. In particular, it discusses the fingerprint features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied to the problem. Finally, it presents empirical results from the state of the art fingerprint classification systems that have been tested using the NIST Special Database 4.