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Biometrics White Papers

Biometric Template Selection and Update: A Case Study in Fingerprints

Overview 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 in order to account for variations observed in a person's biometric data. This paper proposes two methods to perform automatic template selection where the goal is to select prototype fingerprint templates for a finger from a given set of fingerprint impressions. The first method, called DEND, employs a clustering strategy to choose a template set that best represents the intra-class variations, while the second method, called MDIST, selects templates that exhibit maximum similarity with the rest of the impressions.

Further White Paper Details
Publisher	Reed Elsevier	File Format	PDF
Date Published	November 2003	Downloads	27
Format	White Papers
Topics	Biometrics

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