Facial Recognition with Mobile Application and Artificial Neural Network
Glenda Michele Botelho, Marcelo Cobias, Anna Paula Alves Rodrigues, Ivo Sócrates Moraes de Oliveira, Maxwell Diógenes Bandeira de Melo, Ary Henrique Morais de Oliveira · International Journal of Advanced Engineering Research and Science · 2019
This work presents the implementation of a facial recognition system with mobile application for the identification of people/faces.For this, haar-like object detection techniques, filters of luminosity, contrast and grayscale are used.In order to abstract the characteristics, the discrete cosine transform (DCT) and the Laplacian filter were used.In the classification stage it was used the Multi-Layer Perceptron Neural Network (MLP) and Self-Organizing Map (SOM).The interaction flow between the application steps and the classifier has been linked to a web services set.The results reached an accuracy of up to 97%, reaching the objectives proposed for the work.