Similarity Discrimination of Teeth Radiograms by Using the Nth-order Autocorrelation Features

DOI 1 Citations 6 References
  • OGAWA Shinji
    Department of Information Science, Faculty of Engineering, Gifu University
  • NAKAGAWA Toshiaki
    Department of Information Science, Faculty of Engineering, Gifu University
  • HARA Takeshi
    Department of Information Science, Faculty of Engineering, Gifu University
  • FUJITA Hiroshi
    Department of Information Science, Faculty of Engineering, Gifu University
  • NAGAI Atsushi
    Department of Forensic Medicine, Gifu University, School of Medicine
  • BUNAI Yasuo
    Department of Forensic Medicine, Gifu University, School of Medicine
  • OHYA Isao
    Department of Forensic Medicine, Gifu University, School of Medicine

Bibliographic Information

Other Title
  • 高次局所自己相関特徴を用いた歯X写真の類似判定法

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Description

The specification of individuals by the dentistry-view is used for the identification of victims' body in the case of accidents. Then, an objective judgment is required to carry out the correct discernment not only by subjective observation by forensic doctors but quantitive numerical values by a computer. In this study, we propose a method of estimating the degree of identity using the Nth-order autocorrelation features extracted from the teeth radiograms. The autocorrelation features are widely used in the field of image recognition. As an initial result of applying this technique, the eight correct recognition results are obtained among nine cases.

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Details 詳細情報について

  • CRID
    1390282680431391104
  • NII Article ID
    10010439965
  • NII Book ID
    AN10156808
  • DOI
    10.11318/mii1984.19.80
  • ISSN
    09101543
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • Crossref
  • Abstract License Flag
    Disallowed

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