Infrared face recognition by using blood perfusion data

Authors:
Shi-Qian Wu;W. Song;Li-Jun Jiang;S. -L. Xie;Feng Pan;Wei-Yun Yau;Surendra Ranganath
Affiliations:
Institute for Infocomm Research, Singapore;Department of Electrical and Computer Engineering, National University of Singapore, Singapore;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore;Department of Electrical and Computer Engineering, National University of Singapore, Singapore
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

Citing 2
Cited 2

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Abstract

This paper presents a blood perfusion model of human faces based on thermodynamics and thermal physiology. The target is to convert the facial temperature data which are liable to ambient temperature into consistent blood perfusion data in order to improve the performance of infrared (IR) face recognition. Our large number of experiments has demonstrated that the blood perfusion data are less sensitive to ambient temperature if the human bodies are in steady state, and the real data testing demonstrated that the performance by means of blood perfusion data is significantly superior to that via temperature data in terms of recognition rate.