Optimization of a Biometric System Based on Acoustic Images

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 ou...

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Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-13
Main Authors: Raboso Mateos, Mariano, Villacorta Calvo, Juan J., Del Val Puente, Lara, Izquierdo Fuente, Alberto
Format: Article
Language:English
Subjects:
Acoustics
Biometric identification
Biometrics
Biometry
Humans
Identification systems
Imaging systems
Mean square errors
Models, Theoretical
Optimization techniques
Properties
Sensors
Surveillance
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Summary: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.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/780835