Paper
8 May 2012 Simulation of millimeter-wave body images and its application to biometric recognition
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Abstract
One of the emerging applications of the millimeter-wave imaging technology is its use in biometric recognition. This is mainly due to some properties of the millimeter-waves such as their ability to penetrate through clothing and other occlusions, their low obtrusiveness when collecting the image and the fact that they are harmless to health. In this work we first describe the generation of a database comprising 1200 synthetic images at 94 GHz obtained from the body of 50 people. Then we extract a small set of distance-based features from each image and select the best feature subsets for person recognition using the SFFS feature selection algorithm. Finally these features are used in body geometry authentication obtaining promising results.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miriam Moreno-Moreno, Julian Fierrez, Ruben Vera-Rodriguez, and Josep Parron "Simulation of millimeter-wave body images and its application to biometric recognition", Proc. SPIE 8362, Passive and Active Millimeter-Wave Imaging XV, 83620E (8 May 2012); https://doi.org/10.1117/12.918549
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Biometrics

3D modeling

Databases

Image segmentation

Feature selection

Data modeling

Feature extraction

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