Open AccessMultilayer perceptron for face recognition
Author(s) -
Ričardas Toliušis,
Olga Kurasova
Publication year - 2017
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.b.2017.11
Subject(s) - pattern recognition (psychology) , artificial intelligence , computer science , gradient descent , face (sociological concept) , facial recognition system , multilayer perceptron , euclidean distance , artificial neural network , perceptron , euclidean geometry , convolutional neural network , algorithm , mathematics , social science , sociology , geometry
In this paper, an algorithm is proposed which uses facial landmarks to calculate normalized Euclidean distances between different facial parts and performs faces recognition by using Multilayer Perceptron. In order to determine the most effective model, different neural network parameters have been changed in an experimental way, such as hidden layers and the number of neurons, gradient descent optimization algorithms, error and activation functions, and different sets of distances.