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Performance of Finger-Vein Features as a Human Health Indicator

  • Conference paper
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Smart Health (ICSH 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10219))

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Abstract

Biometric features of humans, which include behavioral features and biological features, have two main popular application areas: 1. Biomedical application as in human disease diagnosis and health monitoring; 2. Security application as in identity authentication.

Nowadays, biometric features have great, sometimes even better, performance in certain medical diagnosis areas in comparison to modern medical system, such as heart beats, human breath, tongue image, pulse signal, etc. By using biometric features of human body, biomedical techniques own inherent superiority over traditional medical system on accuracy, speed, sanitation, maintenance and security.

Finger-vein authentication research has been rising since 2003, and has soon become one of the most popular biometric authentication techniques. However, given its inherent advantage as a human feature and great performance in security area, yet by far little has been revealed about whether finger-vein can be used as a human health indicator. In this paper, we discuss what does it take to become a valid health indicator and proceed detailed evaluation on finger-vein features as one. The result shows finger-vein feature is a potential effective indicator for disease early detection and further real-time monitoring on physical condition of human body.

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Correspondence to Shilei Liu .

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Liu, S., Zheng, H., Xu, G., Ni, L., Zhang, Y., Li, W. (2017). Performance of Finger-Vein Features as a Human Health Indicator. In: Xing, C., Zhang, Y., Liang, Y. (eds) Smart Health. ICSH 2016. Lecture Notes in Computer Science(), vol 10219. Springer, Cham. https://doi.org/10.1007/978-3-319-59858-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-59858-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59857-4

  • Online ISBN: 978-3-319-59858-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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