Abstract
Dental radiographic images are one of the most popular biometrics used in the process of forensic human identification. This led to the creation of the Automatic Dental Identification System with the goal of decreasing the time it takes to perform a single search in a large database of dental records. A fully automated system identifying people based on dental X-ray images requires a prior segmentation of the radiogram into sections containing a single tooth. In this paper, a novel method for such segmentation is presented, developed for the dental radiographic images depicting the full dentition — pantomograms. The described method utilizes the locations of areas between necks of teeth in order to determine the separating lines and does not depend on the articulation of gaps between adjacent teeth, thus improving the results achieved in the situation of severe occlusions.
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Bowers, M.C.: Forensic Dental Evidence. Elsevier, Amsterdam (2004)
Lee, S., et al.: The Diversity of Dental Patterns in Orthopantomography and its Significance in Human Identification. Journal of Forensic Science 49(4), 784–786 (2004)
Nassar, D., Ammar, H.H.: A Prototype Automated Dental Identification System (ADIS). In: Proceedings of the 2003 Annual National Conference on Digital Government Research, pp. 1–4 (2003)
Abdel-Mottaleb, M., et al.: Challenges of Developing an Automated Dental Identification System. In: IEEE Mid-West Symposium for Circuits and Systems, Cairo, Egypt, pp. 411–414 (2003)
Fahmy, G., Nassar, D.E., Haj-Said, E., Chen, H., Nomir, O., Zhou, J., Howell, R., Ammar, H.H., Abdel-Mottaleb, M., Jain, A.K.: Towards an Automated Dental Identification System (ADIS). In: Zhang, D., Jain, A.K. (eds.) ICBA 2004. LNCS, vol. 3072, pp. 789–796. Springer, Heidelberg (2004)
Jain, A.K., Chen, H.: Matching of Dental X-ray Images for Human Identification. Pattern Recognition 37(7), 1519–1532 (2004)
Said, A., et al.: Dental X-ray Image Segmentation. In: SPIE Technologies for Homeland Security and Law Enforcement Conference (2001)
Zhou, J., Abdel-Mottaleb, M.: A Content-based System for Human Identification Based on Bitewing Dental X-ray Images. Pattern Recognition 38(11), 2132–2142 (2005)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. International Journal of Computer Vision 1(4), 321–331 (1988)
Frejlichowski, D., Wanat, R.: Application of the Laplacian Pyramid Decomposition to the Enhancement of Digital Dental Radiographic Images for the Automatic Person Identification. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010, Part II. LNCS, vol. 6112, pp. 151–160. Springer, Heidelberg (2010)
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Frejlichowski, D., Wanat, R. (2011). Automatic Segmentation of Digital Orthopantomograms for Forensic Human Identification. In: Maino, G., Foresti, G.L. (eds) Image Analysis and Processing – ICIAP 2011. ICIAP 2011. Lecture Notes in Computer Science, vol 6979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24088-1_31
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DOI: https://doi.org/10.1007/978-3-642-24088-1_31
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