Proposal of a Methodology to Identify Unidentified Decedent through Artificial Intelligence Techniques

Authors

  • Ramon A. Briseño Universidad de Guadalajara
  • Edgar G. Cossio Instituto de Información Estadística y Geográfica de Jalisco
  • Blanca I. Félix Instituto Tecnológico Superior de Cajeme
  • Ana C. Ayala Instituto Tecnológico de Estudios Superiores de Zamora
  • Fausto A. Bernal Universidad Autónoma de Occidente
  • Benjamín I. Hernandez Instituto Tecnológico de la Piedad
  • Briseyda P. Martinez Instituto Tecnológico de Estudios Superiores de Zamora

DOI:

https://doi.org/10.13053/cys-28-3-5199

Keywords:

Unknown bodies, artificial intelligence, identification, tattoos, neural network

Abstract

The use of artificial intelligence techniques for the identification and recognition of people is increasing. This article proposes a novel methodology based on artificial neural networks which is based on the classification of tattoos for their analysis and subsequent identification. The techniques used were carefully validated and tested to seek the highest precision in the result. The dataset used was compiled with sample tattoos for training. The model was loaded into a web model that is currently being tested based on Django and python. A dataset and python scripts were built which allowed its implementation.

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Published

2024-09-25

Issue

Vol. 28 No. 3 (2024): 28(3) 2024

Section

Articles

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