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The Scientific World Journal
Volume 2014 (2014), Article ID 780835, 13 pages
Research Article

Optimization of a Biometric System Based on Acoustic Images

1Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, Universidad de Valladolid, Paseo Belén 15, 47011 Valladolid, Spain
2Departamento de Ciencia de los Materiales e Ingeniería Metalúrgica, Expresión Gráfica de la Ingeniería, Ingeniería Cartográfica, Geodesia y Fotogrametría Ingeniería Mecánica e Ingeniería de los Procesos de Fabricación, Universidad de Valladolid, Paseo del Cauce 59, 47011 Valladolid, Spain
3Facultad de Informática, Universidad Pontificia de Salamanca, Compañia 5, 37002 Salamanca, Spain

Received 26 August 2013; Accepted 20 November 2013; Published 28 January 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Alberto Izquierdo Fuente 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.


On the basis of an acoustic biometric system that captures 16 acoustic images of a person for 4 frequencies and 4 positions, a study was carried out to improve the performance of the system. On a first stage, an analysis to determine which images provide more information to the system was carried out showing that a set of 12 images allows the system to obtain results that are equivalent to using all of the 16 images. Finally, optimization techniques were used to obtain the set of weights associated with each acoustic image that maximizes the performance of the biometric system. These results improve significantly the performance of the preliminary system, while reducing the time of acquisition and computational burden, since the number of acoustic images was reduced.