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Proceedings Paper

Augmenting ridge curves with minutiae triplets for fingerprint indexing
Author(s): Arun Ross; Rajiv Mukherjee
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Paper Abstract

Given a query fingerprint, the goal of indexing is to identify and retrieve a set of candidate fingerprints from a large database in order to determine a possible match. This significantly improves the response time of fingerprint recognition systems operating in the identification mode. In this work, we extend the indexing framework based on minutiae triplets by utilizing ridge curve parameters in conjunction with minutiae information to enhance indexing performance. Further, we demonstrate that the proposed technique facilitates the indexing of fingerprint images acquired using different sensors. Experiments on the publicly available FVC database confirm the utility of the proposed approach in indexing fingerprints.

Paper Details

Date Published: 12 April 2007
PDF: 12 pages
Proc. SPIE 6539, Biometric Technology for Human Identification IV, 65390C (12 April 2007); doi: 10.1117/12.720820
Show Author Affiliations
Arun Ross, West Virginia Univ. (United States)
Rajiv Mukherjee, West Virginia Univ. (United States)


Published in SPIE Proceedings Vol. 6539:
Biometric Technology for Human Identification IV
Salil Prabhakar; Arun A. Ross, Editor(s)

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