Body shape-based biometric person recognition from mmW images
Entity
Tecnología Electrónica y de las ComunicacionesPublisher
Springer VerlagDate
2017Citation
10.1007/978-3-319-58838-4_50
8th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2017. Lecture Notes in Computer Science, Volumen 10255. Springer, 2017. 453-461
ISSN
0302-9743ISBN
978-3-319-58838-4 (online); 978-3-319-58837-7 (print)DOI
10.1007/978-3-319-58838-4_50Funded by
This work has been partially supported by project CogniMetrics TEC2015-70627-R (MINECO/FEDER), and the SPATEK network (TEC2015-68766-REDC)Project
Gobierno de España. TEC2015-70627-R; Gobierno de España.TEC2015-68766-REDCSubjects
biometrics; body shape information; border control security; dynamic time warping; mmW imaging; TelecomunicacionesRights
© Springer International Publishing AG 2017Abstract
A growing interest has arisen in the security community for the use of millimeter waves in order to detect weapons and concealed objects. Also, the use of millimetre wave images has been proposed recently for biometric person recognition to overcome certain limitations of images acquired at visible frequencies. This paper proposes a biometric person recognition system based on shape information extracted from millimetre wave images. To this aim, we report experimental results using millimeter wave images with different body shape-based feature approaches: contour coordinates, shape contexts, Fourier descriptors and row and column profiles, using Dynamic Time Warping for matching. Results suggest the potential of performing person recognition through millimetre waves using only shape information, a functionality that could be easily integrated in the security scanners deployed in airports
Files in this item
Google Scholar:Vera Rodríguez, Rubén
-
González-Sosa, Ester
-
Hernández-Ortega, Javier
-
Fiérrez Aguilar, Julián
This item appears in the following Collection(s)
Related items
Showing items related by title, author, creator and subject.