RECONOCIMIENTO AUTOMÁTICO DE TATUAJES: APLICACIÓN EN EL ÁMBITO FORENSE
DOI:
https://doi.org/10.56238/revgeov16n5-044Palabras clave:
SIFT, YOLO, SURF, Tatuagens, ReconhecimentoResumen
Este trabajo presenta un sistema de reconocimiento de imágenes de tatuajes de forma automática en una base de datos, que puede ser utilizado para ayudar en la correcta identificación de criminales que posean este tipo de marca corporal, su significado y la posible identificación de las facciones delictivas a las que pertenecen. Las técnicas de extracción de parámetros y reconocimiento de imágenes se basan en los algoritmos Scale Invariant Feature Transform (SIFT), Speed-Up Robust Feature (SURF) y la red neuronal YOLO. En el trabajo se describen los casos de prueba que deben seguirse y que permitirán la comparación de desempeño consistente de los métodos de reconocimiento de tatuajes. Los resultados mostraron un buen rendimiento del algoritmo SIFT (88,65%) en comparación con los demás métodos analizados.
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