Using neural networks for face recognition in controlled environments
Holman Montiel Ariza, Fernando Martínez Santa, Diego Armando Giral-Ramírez · Tecnura · 2015
This paper discusses the implementation and validation of neural networks for face recognition in controlled environments, an implementation strategy that consists of 3 stages: acquisition, extraction of facial parameters and validation using neural networks is presented. This paper seeks to validate the operation of two neural networks in particular for face recognition, these are the Perceptron and ART. We seek to analyze and validate through a series of tests the possible operation of this type of neural networks in biometric identification systems and access control.