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Application of the Point Distance Histogram to the Automatic Identification of People by Means of Digital Dental Radiographic Images

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Book cover Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

In this paper, an approach for the identification of people based on digital orthopantomogram images is proposed and experimentally investigated. This approach is composed of four main stages. In the first stage, the image quality is enhanced using the Laplacian pyramid. In the second stage, the image is segmented into individual sub-images, each containing a single tooth. To do this, the line that separates the upper and lower jaw is obtained using integral projections, and then information about the intensity and location of particular types of tooth is applied. The extraction of the shapes of the teeth is the third stage. This stage also later involves each particular shape being represented using the Point Distance Histogram algorithm to obtain its description. Finally, the resultant descriptions are matched with the objects stored in a template base for a person and, using these, biometric identification is performed.

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Acknowledgements

The author of this paper wishes to thank gratefully MSc R. Wanat for his significant help in developing and exploring the described approach.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Żołnierska 52, 71-210, Szczecin, Poland

    Dariusz Frejlichowski

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  1. Dariusz Frejlichowski
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Correspondence to Dariusz Frejlichowski .

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Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Frejlichowski, D. (2016). Application of the Point Distance Histogram to the Automatic Identification of People by Means of Digital Dental Radiographic Images. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_34

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

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