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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Face Recognition Beyond the Visible Spectrum
verfasst von : Pradeep Buddharaju, Ioannis Pavlidis, Chinmay Manohar
Erschienen in: Advances in Biometrics
Verlag: Springer London
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The facial vascular network is highly characteristic of the individual, much the way his fingerprint is. An unobtrusive way to capture this information is through thermal imaging. The convective heat transfer effect from the flow of “hot” arterial blood in superficial vessels creates characteristic thermal imprints, which are at a gradient with the surrounding tissue. This casts sigmoid edges on the human tissue where major blood vessels are present. We present an algorithmic methodology to extract and represent the facial vasculature. The methodology combines image morphology and probabilistic inference. The morphology captures the overall structure of the vascular network and the probabilistic part reflects the positional uncertainty for the vessel walls, due to the phenomenon of thermal diffusion. The accuracy of the methodology is tested through extensive experimentation and meticulous ground-truthing. Furthermore, the efficacy of this information for identity recognition is tested on substantial databases.