FACIAL RECOGNITION USING VIOLA-JONES AND BINARY PATTERNS
PDF (Español (España))
HTML (Español (España))

How to Cite

González, H., & Velásquez, S. (2019). FACIAL RECOGNITION USING VIOLA-JONES AND BINARY PATTERNS. Universidad Ciencia Y Tecnología, 23(92), 7. Retrieved from https://uctunexpo.autanabooks.com/index.php/uct/article/view/126

Abstract

This article shows the capabilities of a facial recognition recognition system, given different conditions that can occur in any physical space. The design has a system that is able to recognize the face of a person and show the percentage of success that it has with respect to the user face images that serve so that the system can identify the person. Using the OpenCV library of Python using the algorithm of Viola-Jones and the algorithm of Local Binary Patterns (LBP), an interface was made that is able to identify so many users are registered in the database.

Referencias
[1] C. Borroso. "Implementacion del algoritmo de deteccion de caras de viola y jones sobre un FPGA". Universidad Carlos III de Madrid. 2014
[2]E. Cabello. "Tecnica de reconocimiento facial mediante redes neuronales".Universidad Politecnica de Madrid. 2009.
[3]S. Dominguez. "Reconocimiento Facial mediante el analisis de componentes principales (PCA)". Universidad de Sevilla. 2017
[4]D. Espinoza y  P. Jorquea. Reconocimiento Facial. Pontificia Universidad Catolica del Valparaiso. 2015.

PDF (Español (España))
HTML (Español (España))

Downloads

Download data is not yet available.