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Application of Artificial Neural Networks in the Human Identification Based on Thermal Image of Hands

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Biomechanics in Medicine and Biology (BIOMECHANICS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 831))

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Abstract

The aim of this study was to check the possibility of identifying the persons based on the properties of thermal maps and a temperature distribution of a hand, obtained from a thermal image, with use of artificial neural networks. For this purpose, a series of thermographs of the right hand of eight people was taken, with a thermal imaging camera. The photos were taken under the same thermal conditions, but with different state of warming of hands. After processing the photos (determining the edges, characteristic hand points and areas of interest), the parameters characterizing the metacarpal temperature distribution were determined. Eight parameters were chosen, which were average temperatures of the areas of interest. These parameters were input data of neural networks in the learning and identification process. As it was shown in this study, these parameters were sufficient to clearly identify the persons. Neural networks, designed as multi-layered perceptron, after proper learning showed very high values of identification parameters, including high values of sensitivity and specificity, what proves the high quality of classification. Such identification is possible with the natural thermal state of the hand and if thermal images are not strongly disturbed, the artificial neural networks are very good tool to implement in persons identification process.

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Acknowledgment

The work was funded by the grant 02/21/DSPB/3493 from the Ministry of Higher Education and Science, Poland.

During the realization of this work Dr. Jakub K. Grabski was supported with scholarship funded by the Foundation for Polish Science (FNP).

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Authors and Affiliations

  1. Institute of Applied Mechanics, Faculty of Mechanical Engineering and Management, Poznan University of Technology, Piotrowo 3, 60-965, Poznan, Poland

    Tomasz Walczak, Jakub Krzysztof Grabski, Martyna Michałowska & Dominika Szadkowska

Authors
  1. Tomasz Walczak
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  2. Jakub Krzysztof Grabski
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  3. Martyna Michałowska
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  4. Dominika Szadkowska
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Corresponding author

Correspondence to Tomasz Walczak .

Editor information

Editors and Affiliations

  1. Division of Biomedical Engineering, Department of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland

    Katarzyna Arkusz

  2. Division of Biomedical Engineering, Department of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland

    Romuald Będziński

  3. Division of Biomedical Engineering, Department of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland

    Tomasz Klekiel

  4. Division of Biocybernetics and Biomedical Engineering, Department of Mechanical Engineering, Bialystok University of Technology, Białystok, Poland

    Szczepan Piszczatowski

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Walczak, T., Grabski, J.K., Michałowska, M., Szadkowska, D. (2019). Application of Artificial Neural Networks in the Human Identification Based on Thermal Image of Hands. In: Arkusz, K., Będziński, R., Klekiel, T., Piszczatowski, S. (eds) Biomechanics in Medicine and Biology. BIOMECHANICS 2018. Advances in Intelligent Systems and Computing, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-97286-2_11

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