Detection Face Parts in Image Using Neural Network Based on MATLAB

Authors

• Shahad L. Galib, Department of Applied Sciences, University of Technology, Baghdad, Iraq, as.18.29@grad.uotechnology.edu.iq
• Fouad S. Tahir, Department of Applied Sciences, University of Technology, Baghdad, Iraq, 11015@uotechnology.edu.iq
• Asma A. Abdulrahman, Department of Applied Sciences, University of Technology, Baghdad, Iraq, 100243@uotechnology.edu.iq

Keywords

Convolutional Neural Networks, Face detection, Matlab, Eyes, mouth, Nose

Document Type

Research Paper

Abstract

Recently, face recognition system (FRS) is implemented in different applications including a range of vital services like airports and banking systems for security purposes. Therefore, deployed surveillance systems have been established which led to the urgent need to develop a vital face recognition system. In this work, a new algorithm was proposed for recognition of the face, personal and color images by training the convolutional neural network using the MATLAB program to build a new program for detection of the face, then building a separate program to discover the lips, nose, and eyes, New methods were explored to analyze the main and independent components to improve face detection, which is considered one of the important techniques in this work using neural networks and implementation through the MATLAB program.

Recommended Citation

L. Galib, Shahad; S. Tahir, Fouad; and A. Abdulrahman, Asma () "Detection Face Parts in Image Using Neural Network Based on MATLAB," Engineering and Technology Journal: Vol. 39: Iss. 1, Article 30.
DOI: https://doi.org/10.30684/etj.v39i1B.1944

DOI

10.30684/etj.v39i1B.1944

First Page

159

Last Page

164