Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Principal Component Analysis for Ear-based Biometric Verification
Year:2017
Research Areas
  • Engineering
Information
Abstract
Biometrics is an active research field that is increasingly being integrated into current technology. As a result, more and more people are becoming familiar with biometric technics such as fingerprint or facial recognition. Nevertheless, there are innovative techniques such as ear-based biometrics which are not very well known yet because they are at initial stages of research. In this work, an ear geometry-based biometric verification system oriented to recognition through mobile phones is presented and evaluated. Feature extraction is carried out by means of Principal Component Analysis and feature matching is performed by a distance-based classifier including Euclidean and Eigen distances. The evaluation has been made according to the specifications included in the ISO/IDE 19795 norm following a zero-effort falsification scenario. To this end, a database including ear images of different users has been captured using the camera of a smartphone. The obtained Equal Error Rate matches 1.11% when Euclidean distance is applied for feature comparison and 5.56% in the case of Eigendistance.
International
Si
Congress
51st International Carnahan Conference on Security Technology
960
Place
Madrid, España
Reviewers
Si
ISBN/ISSN
2153-0742
10.1109/CCST.2017.8167843
Start Date
23/10/2017
End Date
26/10/2017
From page
1
To page
6
INSPEC Accession Number: 17416260
Participants
  • Autor:  David Querencias-Uceta 
  • Autor: Belen Rios Sanchez (UPM)
  • Autor: Maria del Carmen Sanchez Avila (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones
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