Body shape-based biometric recognition using millimeter wave images
EntityUAM. Departamento de Tecnología Electrónica y de las Comunicaciones
10.1109/CCST.2013.6922076Security Technology (ICCST), 2013 47th International Carnahan Conference on. IEEE, 2013
Funded byThis work has been partially supported by projects TeraSense (CSD2008-00068), Bio-Shield (TEC2012-34881), Contexts (S2009/TIC-1485) and “Cátedra UAM-Telefónica”.
ProjectComunidad de Madrid. S2009/TIC-1485/CONTEXTS
Subjectsbiometrics (access control); dynamic programming; millimetre wave imaging; Telecomunicaciones
NotePersonal 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. 1-5
Proceedings of 47th International Carnahan Conference on Security Technology, Medellin, October 2013
Rights© 2013 IEEE
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.
Google Scholar:González-Sosa, Ester - Vera Rodríguez, Rubén - Fiérrez Aguilar, Julián - Ortega García, Javier
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