@inproceedings{462d42e272934531bc24e07375946593,
title = "Analyzing thermal facial patterns for personal verification",
abstract = "This paper describes a novel approach for personal verification by analyzing the face patterns formed by thermal imaging. A new feature set is proposed to represent the thermal face: the bifurcation points of the thermal pattern and the geographical gravity center of the thermal face region. We proposed to use the Modified Hausdorff Distance to measure the similarity between two feature vectors of the thermal face. Experimental results show that introduction of the geographical gravity center improves the accuracy performance significantly, and the Equal Error Rate (EER) achieved 6.7%. The work in this paper shows that the thermal face patterns can provide a reasonable level of discriminating power, and has the potential to be used in the context of biometric applications especially when used in conjunction with other biometric modals.",
author = "Lingyu Wang and Cho, {Siu Yeung} and Ong, {Wee Jin}",
note = "Publisher Copyright: {\textcopyright} 2008 Global Information Publisher (H.K) Co., Limited. All rights reserved.; 2008 International Symposium on Applied Computing and Computational Sciences, ACCS 2008 ; Conference date: 01-08-2008 Through 03-08-2008",
year = "2008",
language = "English",
series = "Advances in Applied Computing and Computational Sciences - Proceedings of International Symposium on Applied Computing and Computational Sciences, ACCS 2008",
publisher = "Global Information Publisher (H.K) Co., Limited",
pages = "56--60",
editor = "Lean Yu and Lai, {Kin Keung}",
booktitle = "Advances in Applied Computing and Computational Sciences - Proceedings of International Symposium on Applied Computing and Computational Sciences, ACCS 2008",
}