A Genetic Type – 2 Fuzzy Logic System for Human Identification in Craniofacial Superimposition

Mohan Dass Chitra Devi, M. Pushpa Rani

Abstract


One of the most research areas in forensic science is human identification, because now a day’s identification of missing person is a very challenging issue. For that reason we introduce the Craniofacial superimposition is a forensic identification technique which identify the person from the photographs or video shots are compared with the skull for accurate identification of person. Our proposed work identifies the person by the craniofacial superimposition technique. Here we implement the skull - face over lay process for human identification. Our proposed work performs the skull - face over lay process by the Enhanced-Robust 3D Point Matching [ER-3DPM] algorithm which identify the person by the matching the points in skull with the photograph of person. For accurate identification of person our proposed method performs the validation process by the genetic algorithm and type 2 fuzzy set. Finally our proposed work analyses the performance with the parameters of accuracy and execution time.

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References


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DOI: https://doi.org/10.23956/ijarcsse.v9i3.968

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