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AVBPA
2003
Springer

Biometric Template Selection: A Case Study in Fingerprints

9 years 6 months ago
Biometric Template Selection: A Case Study in Fingerprints
Abstract. A biometric authentication system operates by acquiring biometric data from a user and comparing it against the template data stored in a database in order to identify a person or to verify a claimed identity. Most systems store multiple templates per user to account for variations in a person’s biometric data. In this paper we propose two techniques to automatically select prototype fingerprint templates for a finger from a given set of fingerprint impressions. The first method, called DEND, performs clustering in order to choose a template set that best represents the intra-class variations, while the second method, called MDIST, selects templates that have maximum similarity with the rest of the impressions and, therefore, represent typical measurements of biometric data. Matching results on a database of 50 different fingers, with 100 impressions per finger, indicate that a systematic template selection procedure as presented here results in better performance th...
Anil K. Jain, Umut Uludag, Arun Ross
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where AVBPA
Authors Anil K. Jain, Umut Uludag, Arun Ross
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