Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
Feature exploration for biometric recognition using millimetre wave body images
Entidad
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesEditor
Springer International PublishingFecha de edición
2015-12-04Cita
10.1186/s13640-015-0084-3
Eurasip Journal on Image and Video Processing 2015.1 (2015): 30
ISSN
1687-5281DOI
10.1186/s13640-015-0084-3Financiado por
This work has been partially supported by projects TeraSense (CSD2008-00068), Bio-Shield (TEC2012-34881) and BEAT (FP7-SEC-284989) from EU. E. Gonzalez-Sosa is supported by a PhD scholarship from Universidad Autonoma de Madrid.Proyecto
Gobierno de España. TEC2012-34881; info:eu-repo/grantAgreement/EC/FP7/284989Versión del editor
http://dx.doi.org/10.1186/s13640-015-0084-3Materias
Body descriptors; Comparison; Dtw; Millimetre-waves; Screening scanners; Security applications; TelecomunicacionesNota
The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1186/s13640-015-0084-3Derechos
© 2015 The Author(s)Resumen
The use of millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. Furthermore, the security community has started using millimetre wave screening scanners in order to detect concealed objects. We believe we can exploit the use of these devices by incorporating biometric functionalities. This paper proposes a biometric recognition system based on the information of the silhouette of the human body, which may be seen as a type of soft biometric trait. To this aim, we report experimental results on the BIOGIGA database with four feature extraction approaches (contour coordinates, shape contexts, Fourier descriptors and landmarks) and three classification methods (Euclidean distance, dynamic time warping and support vector machines). The best configuration of 1.33 % EER is achieved when using contour coordinates with dynamic time warping.
Lista de ficheros
Google Scholar:González-Sosa, Ester
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Vera Rodríguez, Rubén
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Fiérrez Aguilar, Julián
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Moreno-Moreno, Miriam
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Ortega García, Javier
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