Augmenting ridge curves with minutiae triplets for fingerprint indexing

Arun Ross; Rajiv Mukherjee

doi:10.1117/12.720820

12 April 2007 Augmenting ridge curves with minutiae triplets for fingerprint indexing

Arun Ross, Rajiv Mukherjee

Proceedings Volume 6539, Biometric Technology for Human Identification IV; 65390C (2007) https://doi.org/10.1117/12.720820
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Arun Ross and Rajiv Mukherjee "Augmenting ridge curves with minutiae triplets for fingerprint indexing", Proc. SPIE 6539, Biometric Technology for Human Identification IV, 65390C (12 April 2007); https://doi.org/10.1117/12.720820

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