This paper proposes a novel approach for automating the analysis of identifying the person based on their ante mortem and postmortem reports. This approach involves three techniques (i.e.) morphological contour detector, Gaussian filtering and an existing semi-automatic contour extraction method. Forensic dentistry involves the identification of people based on their dental records, mainly available as radiograph images. Our goal is to automate this process using image processing and pattern recognition techniques. Given a postmortem radiograph, we search a database of antemortem radiographs in order to retrieve the closest match with respect to some salient features. In this paper, we use the contours of the teeth as the feature for matching. The algorithm completes the task in three steps: radiograph segmentation, pixel classification and contour matching. In this paper a hit rate of 0.7 is achieved by the Morphological contour detectors which are comparable with the other two methods.

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Biometrics in general allows a person to be identified and authenticated based on a set of recognisable and verifiable data, which are unique and specific to the human. In this study a dental biometric technique is presented based on dental radiographs. This method is to authenticate cadaver correctly and identify them properly based on dental information as teeth are very resistant to modest force effects and high temperatures and also possess good biometric properties. The dental radiographs are pre-processed and the required dental data is obtained by edge detection using isoperimetric algorithm. The obtained data from the query image is matched with the database image and the best match is obtained for authentication. In this study, a novel method is presented in which the tooth is also represented in the form of a nodal graph and the final matching with database is done with both shape information and nodal graphs obtained. The hit rate obtained is comparable to the existing algorithms.