Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICICS.2007.4449707
Title: Infrared facial recognition using modified blood perfusion
Authors: Wu, S.
Gu, Z.
Kia, A.C.
Sim, H.O. 
Keywords: Biometrics
Blood perfusion
Face recognition
Infrared facial images
Issue Date: 2007
Source: Wu, S.,Gu, Z.,Kia, A.C.,Sim, H.O. (2007). Infrared facial recognition using modified blood perfusion. 2007 6th International Conference on Information, Communications and Signal Processing, ICICS : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICICS.2007.4449707
Abstract: An infrared (IR) facial image represents a measurement of thermal distribution of a face which is independent of illumination. However, it has been found that facial thermograms vary with ambient temperature, physiological as well as psychological conditions, which result in severe decline in recognition rate. In this paper, we present a modified blood perfusion model which is much simpler than the original one. The experimental results have illustrated that the performances of the two models are comparable and outperform the thermal data for same-session data. To be more important, it is demonstrated that performance of the modified blood perfusion model is superior to the original model for time-lapse testing. ©2007 IEEE.
Source Title: 2007 6th International Conference on Information, Communications and Signal Processing, ICICS
URI: http://scholarbank.nus.edu.sg/handle/10635/70602
ISBN: 1424409837
DOI: 10.1109/ICICS.2007.4449707
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