Bipolarity in ear biometrics
- Joachim Nielandt, Antoon Bronselaer, Tom Matthé, Guy De Tré
- Corresponding Author
- Joachim Nielandt
Available Online August 2011.
- https://doi.org/10.2991/eusflat.2011.89How to use a DOI?
- Ear biometrics, bipolarity, identification, soft computing
- 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.
- 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 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2011.89 DO - https://doi.org/10.2991/eusflat.2011.89 ID - Nielandt2011/08 ER -