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

Abstract

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.