Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

Bipolarity in ear biometrics

Authors
Joachim Nielandt, Antoon Bronselaer, Tom Matthé, Guy De Tré
Corresponding Author
Joachim Nielandt
Available Online August 2011.
DOI
https://doi.org/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.
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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
DOI
https://doi.org/10.2991/eusflat.2011.89How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 409
EP  - 415
UR  - https://doi.org/10.2991/eusflat.2011.89
DO  - https://doi.org/10.2991/eusflat.2011.89
ID  - Nielandt2011/08
ER  -