Title of article :
Effectiveness of new algorithms for facial recognition based on deep neural networks
Author/Authors :
Laith, Shahad Department of Applied Science - University of Technology, Baghdad, Iraq , Shaker Tahir, Fouad Department of Applied Science - University of Technology, Baghdad, Iraq , Abdulelah Abdulrahman, Asma Department of Applied Science - University of Technology, Baghdad, Iraq
Abstract :
The applications of image classification occupied a wide field in the recognition of faces using the Convolutional Neural Network (CNN) with the mathematical aspect of deep learning based on the MATLAB program. This is not only facial recognition, but also recognizing the parts of the face, eye, mouth, and nose after designing programs in addition to the new algorithms with the theory of CascadeObjectDetector and trainCascadeObjectDetector. The benefit of this work emerges in the areas of security, airports, markets, and so on.
Keywords :
Convolutional , Neural Networks , face detection , MATLAB , eyes , mouth , nose , deep learning
Journal title :
International Journal of Nonlinear Analysis and Applications
