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Izquierdo Fuente, Alberto Val Puente, Lara del Villacorta Calvo, Juan José Raboso Mateos, Mariano 2024-04-18T12:50:45Z 2024-04-18T12:50:45Z 2014 Alberto Izquierdo Fuente, Lara Del Val Puente, Juan J. Villacorta Calvo, Mariano Raboso Mateos, "Optimization of a Biometric System Based on Acoustic Images", The Scientific World Journal, vol. 2014, Article ID 780835, 13 pages, 2014. https://doi.org/10.1155/2014/780835 2356-6140 https://uvadoc.uva.es/handle/10324/67216 10.1155/2014/780835 1 13 The Scientific World Journal 2014 1537-744X 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. spa info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/3.0/ Attribution-NonCommercial-NoDerivs 3.0 Unported Optimization of a Biometric System Based on Acoustic Images info:eu-repo/semantics/article