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Optimization of a biometric system based on acoustic images.

Izquierdo Fuente A, Del Val Puente L, Villacorta Calvo JJ, Raboso Mateos M - ScientificWorldJournal (2014)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, Universidad de Valladolid, Paseo Belén 15, 47011 Valladolid, Spain.

ABSTRACT
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.

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Related in: MedlinePlus

Acoustic images. x-axis: angle (degrees); y-axis: range (m).
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig6: Acoustic images. x-axis: angle (degrees); y-axis: range (m).

Mentions: Figure 6 shows the acoustic images for (i) the front view position (p1) where the head and trunk of the subject can be clearly identified, (ii) the front view position with arms outstretched (p2) where the head and arms of the subject can be clearly identified, (iii) the back view position (p3) where the back of the head can be identified, and (iv) the side view position (p4) where the closest shoulder and side of the head can be identified.


Optimization of a biometric system based on acoustic images.

Izquierdo Fuente A, Del Val Puente L, Villacorta Calvo JJ, Raboso Mateos M - ScientificWorldJournal (2014)

Acoustic images. x-axis: angle (degrees); y-axis: range (m).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3926389&req=5

fig6: Acoustic images. x-axis: angle (degrees); y-axis: range (m).
Mentions: Figure 6 shows the acoustic images for (i) the front view position (p1) where the head and trunk of the subject can be clearly identified, (ii) the front view position with arms outstretched (p2) where the head and arms of the subject can be clearly identified, (iii) the back view position (p3) where the back of the head can be identified, and (iv) the side view position (p4) where the closest shoulder and side of the head can be identified.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, Universidad de Valladolid, Paseo Belén 15, 47011 Valladolid, Spain.

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus