Optimization of a Biometric System Based on Acoustic Images
Joint Authors
Izquierdo Fuente, Alberto
Del Val Puente, Lara
Villacorta Calvo, Juan J.
Raboso Mateos, Mariano
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Izquierdo Fuente, Alberto& Del Val Puente, Lara& Villacorta Calvo, Juan J.& Raboso Mateos, Mariano. 2014. Optimization of a Biometric System Based on Acoustic Images. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050998
Modern Language Association (MLA)
Izquierdo Fuente, Alberto…[et al.]. Optimization of a Biometric System Based on Acoustic Images. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050998
American Medical Association (AMA)
Izquierdo Fuente, Alberto& Del Val Puente, Lara& Villacorta Calvo, Juan J.& Raboso Mateos, Mariano. Optimization of a Biometric System Based on Acoustic Images. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050998
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050998