Person recognition beyond the visible spectrum: Combining body shape and texture from mmW images

Ester Gonzalez-Sosa, Ruben Vera-Rodriguez, Julian Fierrez, Vishal M. Patel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Biometrics have been tradittionally based on images acquired in the visible spectrum. In this paper, we will go first into details regarding the regions beyond the visible spectrum that have been already explored in the literature for biometrics to overcome some of the limitations found in the visible region. Later, we will introduce millimeter imaging as a new region of the spectrum that has also potential in biometrics.~To this aim, we first consider shape and texture information individually for person recognition. Later, we compare them and study to what extent the joint use of shape and texture can provide further improvements. Results suggest that both sources of information can complement each other, reaching verification results of 1.5% EER. This result motivates us to think that in the future, person recognition can be integrated within the millimeter screening scanners already deployed in airports, and enhance this way security.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 International Conference on Biometrics, ICB 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-246
Number of pages6
ISBN (Electronic)9781538642856
DOIs
StatePublished - Jul 13 2018
Event11th IAPR International Conference on Biometrics, ICB 2018 - Gold Coast, Australia
Duration: Feb 20 2018Feb 23 2018

Publication series

NameProceedings - 2018 International Conference on Biometrics, ICB 2018

Other

Other11th IAPR International Conference on Biometrics, ICB 2018
CountryAustralia
CityGold Coast
Period2/20/182/23/18

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Pathology and Forensic Medicine

Keywords

  • Body shape
  • Body texture
  • CNN
  • MmW imaging
  • Multi algorithmic fusion
  • Multimodal fusion
  • Security

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