Body shape-based biometric recognition using millimeter wave images
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
IEEEDate
2013-10Citation
10.1109/CCST.2013.6922076
Security Technology (ICCST), 2013 47th International Carnahan Conference on. IEEE, 2013
ISSN
1071-6572DOI
10.1109/CCST.2013.6922076Funded by
This work has been partially supported by projects TeraSense (CSD2008-00068), Bio-Shield (TEC2012-34881), Contexts (S2009/TIC-1485) and “Cátedra UAM-Telefónica”.Project
Comunidad de Madrid. S2009/TIC-1485/CONTEXTSEditor's Version
http://dx.doi.org/10.1109/CCST.2013.6922076Subjects
biometrics (access control); dynamic programming; millimetre wave imaging; TelecomunicacionesNote
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. González-Sosa, E. ; Vera-Rodríguez, R. ; Fierrez, J. ; Ortega-García, J. "Body shape-based biometric recognition using millimeter wave images" in 47th International Carnahan Conference on Security Technology, Medellin, 2013, pp. 1-5Proceedings of 47th International Carnahan Conference on Security Technology, Medellin, October 2013
Rights
© 2013 IEEEAbstract
The use of MMW images has been proposed recently in the biometric field aiming to overcome certain limitations when using images acquired at visible frequencies. In this paper, several body shape-based techniques are applied to model the silhouette of images of people acquired at 94 GHz. Three main approaches are presented: a baseline system based on the Euclidean distance, a dynamic programming method and a procedure using Shape Contexts descriptors. Results show that the dynamic time warping algorithm achieves the best results regarding the system performance (around 1.3% EER) and the computation cost. Results achieved here are also compared to previous works based on the extraction of geometric measures between several key points of the body contour. An average relative improvement of 33% EER is achieved for the work reported here.
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Google Scholar:González-Sosa, Ester
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Vera Rodríguez, Rubén
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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