A graph-based framework for thermal faceprint characterization

Authors:
Daniel Osaku;Aparecido Nilceu Marana;João Paulo Papa
Affiliations:
Department of Computing, São Paulo State University, Bauru, Brazil;Department of Computing, São Paulo State University, Bauru, Brazil;Department of Computing, São Paulo State University, Bauru, Brazil
Venue:
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Year:
2011

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Abstract

Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels network of the face. In this work, we propose a novel framework for thermal faceprint extraction using a collection of graph-based techniques, which were never used to this task up to date. A robust method of thermal face segmentation is also presented. The experiments, which were conducted over the UND Collection C dataset, have showed promising results.