A graph-based framework for thermal faceprint characterization
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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. © 2011 Springer-Verlag.
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Faceprint, Image Foresting Transform, Optimum-Path Forest, Thermal Face Recognition, Data sets, Face segmentation, Graph-based, Graph-based techniques, Image foresting transforms, Infrared spectrum, Robust methods, Blood vessels, Image analysis, Spectroscopy, Face recognition
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Inglês
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6978 LNCS, n. PART 1, p. 169-177, 2011.
