Bite mark identification Project

Forensic odontology generally addresses the problem of identifying individuals based on the properties of teeth or identifying individuals based on bite mark impressions left behind in crime scenes. This project concerns with matching 2D bite mark images to 3D models (made from dental casts) of suspects. The specific goal of the project is to develop a population model of the probability of match using a collection of such dental casts.

(Funded by the US National Institute of Justice grant #grant #2006-DN-BX-K252)

Publications

1. Mihran Tuceryan, Fang Li, Herbert L. Blitzer, Edwin T. Parks, Jeffrey A. Platt, A Framework for Estimating Probability of a Match in Forensic Bite Mark Identification, Journal of Forensic Sciences, vol. 56, no. S1, pp. S83-S89, 2011, doi:10.1111/j.1556-4029.2010.01571.x
2. Glenn Flora, Mihran Tuceryan, Herb Blitzer, "Forensic Bite Mark Identification Using Image Processing Methods," in Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC), pp. 903-907, Honolulu, Hawaii, March 2009. doi:10.1145/1529282.1529479 (pdf)