Bipolarity in ear biometrics

DOI

10.2991/eusflat.2011.89How to use a DOI?

Keywords

Ear biometrics, bipolarity, identification, soft computing

Abstract

Identifying people using their biometric data is a problem that is getting increasingly more attention. This paper investigates a method that allows the matching of people in the context of victim identification by using their ear biometric data. A high quality picture (taken professionally) is matched against a set of low quality pictures (family albums). In this paper soft computing methods are used to model different kinds of uncertainty that arise when manually annotating the pictures. More specifically, we study the use of bipolar satisfaction degrees to explicitly handle the bipolar information about the available ear biometrics.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Joachim Nielandt
AU  - Antoon Bronselaer
AU  - Tom Matthé
AU  - Guy De Tré
PY  - 2011/08
DA  - 2011/08
TI  - Bipolarity in ear biometrics
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 409
EP  - 415
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.89
DO  - 10.2991/eusflat.2011.89
ID  - Nielandt2011/08
ER  -