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Mobile Information Systems
Volume 2015, Article ID 401975, 13 pages
http://dx.doi.org/10.1155/2015/401975
Research Article

Fingerprint Quality Evaluation in a Novel Embedded Authentication System for Mobile Users

1Faculty of Engineering and Architecture, University of Enna Kore, 94100 Enna, Italy
2Department of Biopathology and Medical Biotechnologies, University of Palermo, 90127 Palermo, Italy
3Department of Chemical Engineering, Management, Computer Science, and Mechanics, University of Palermo, 90128 Palermo, Italy

Received 1 September 2014; Accepted 1 September 2014

Academic Editor: Ilsun You

Copyright © 2015 Giuseppe Vitello et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The way people access resources, data and services, is radically changing using modern mobile technologies. In this scenario, biometry is a good solution for security issues even if its performance is influenced by the acquired data quality. In this paper, a novel embedded automatic fingerprint authentication system (AFAS) for mobile users is described. The goal of the proposed system is to improve the performance of a standard embedded AFAS in order to enable its employment in mobile devices architectures. The system is focused on the quality evaluation of the raw acquired fingerprint, identifying areas of poor quality. Using this approach, no image enhancement process is needed after the fingerprint acquisition phase. The Agility RC2000 board has been used to prototype the embedded device. Due its different image resolution and quality, the experimental tests have been conducted on both PolyU and FVC2002 DB2-B free databases. Experimental results show an interesting trade-off between used resources, authentication time, and accuracy rate. The best achieved false acceptance rate (FAR) and false rejection rate (FRR) indexes are 0% and 6.25%, respectively. The elaboration time is 62.6 ms with a working frequency of 50 MHz.