Servicios Personalizados
Revista
Articulo
Indicadores
Citado por SciELO
Accesos
Links relacionados
Similares en
SciELO
Compartir
Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
Resumen
BRISENO, Ramón A. et al. Proposal of a Methodology to Identify Unidentified Decedent through Artificial Intelligence Techniques. Comp. y Sist. [online]. 2024, vol.28, n.3, pp.1393-1399. Epub 21-Ene-2025. ISSN 2007-9737. https://doi.org/10.13053/cys-28-3-5199.
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.
Palabras llave : Unknown bodies; artificial intelligence; identification; tattoos; neural network.












