Craniofacial Superimposition in Forensic Identification using Genetic Algorithms

Authors:
Lucia Ballerini;Oscar Cordon;Sergio Damas;Jose Santamaria;Inmaculada Aleman;Miguel Botella
Affiliations:
European Centre for Soft Computing, Spain;European Centre for Soft Computing, Spain;European Centre for Soft Computing, Spain/ University of Granada, Spain;University of Cadiz, Spain;University of Granada, Spain;University of Granada, Spain
Venue:
IAS '07 Proceedings of the Third International Symposium on Information Assurance and Security
Year:
2007

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Abstract

Craniofacial superimposition is a process that aims to identify a person by overlaying a photograph and a model of the skull. This process is usually carried out manually by forensic anthropologists; thus being very time consuming and presenting several difficulties in finding a good fit between the 3D model of the skull and the 2D photo of the face. In this paper we present a fast and automatic procedure to tackle the superimposition problem. The proposed method is based on real-coded genetic algorithms. Synthetic data are used to validate the method. Results on a real case from our Physical Anthropology lab of the University of Granada are also presented.