Biometric verification of persons based on thermovision

Joanna Bauer; Halina Podbielska M.D.; Artur Suchwalko

doi:10.1117/12.577213

26 August 2004 Biometric verification of persons based on thermovision

Joanna Bauer, Halina Podbielska M.D., Artur Suchwalko

Proceedings Volume 5566, Optical Security and Safety; (2004) https://doi.org/10.1117/12.577213
Event: Optical Security and Safety, 2003, Warsaw, Poland

Abstract

Biometrics is recently a key interest of many institutions, especially those interested in public security. Biometrics relies on recognition, identification and verification of physiological or/and behavioral features of human body. These include e.g. fingerprints, retina or iris images, examination of DNA or way of handwriting and many others. Face recognition is one of these modalities. The successful security systems should offer high efficiency, meaning high rate of properly classified and verified images. They should be also free from external disturbances like unstable environment conditions, illumination etc. In this paper we demonstrated that biometric verification based on the analysis of thermal images could fulfill these requirements and thermal image of the human face can be regarded as a biometric feature, as well. Analyzed database incorporates thermal images of 26 adults, registered by high quality infrared camera AGEMA 900 LW in various conditions under the influence of externally induced changes to the thermal characteristics. In order to perform the image processing the compression step was applied, so the acquired 270 x 135 pixels image was reduced to the size of 85 x 85 pixels. The reduced images were further analyzed. Our system worked in three regimes, based on Eigenfaces, Fisherfaces and joint transform correlator. Receiver Operator Characteristic was used for evaluation of each of the mentioned above modalities. Equal Error Rate was applied for evaluation of the tested systems. It was shown that the highest rate of system efficiency was achieved by implementation of Fisherfaces 96,54% and joint transform correlator 88,40%. Thus, it was also demonstrated that temperature distribution can be regarded as biometrics feature and can be used for person verification.

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Joanna Bauer, Halina Podbielska M.D., and Artur Suchwalko "Biometric verification of persons based on thermovision", Proc. SPIE 5566, Optical Security and Safety, (26 August 2004); https://doi.org/10.1117/12.577213

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KEYWORDS

Biometrics

Optical correlators

Thermography

Joint transforms

Databases

Facial recognition systems

Image analysis

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