Fingerprint skeleton matching based on local descriptor

• NCJ Number: 311154
• Author(s): Julien Bohné; Vincent Despiégel
• Date Published: November 2009
• Grant Number(s): 2007-RG-CX-K183
• Sponsoring Agency: National Institute of Justice (NIJ)
• Publication Format: Article
• Publication Type: Research (Applied/Empirical)
• Country: United States of America
• Note: Published in 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems

Abstract

In this paper, we present a new fingerprint matching algorithm based on a local skeleton descriptor. This descriptor uses ridge count information to encode minutiae locations in a small neighborhood. Taking advantage of ridge count properties, our descriptor is robust to distortions. We developed an efficient algorithm to match our descriptor and a strategy to combine matchings of many local descriptors. Our algorithm obtains interesting results on both tenprint-to-tenprint and latent-to-tenprint matchings.

(Publisher abstract provided.)