Detection Face Parts in Image Using Neural Network Based on MATLAB


  • Shahad L. Galib Department of Applied Sciences
  • Fouad S. Tahir Department of Applied Sciences
  • Asma A. Abdulrahman Department of Applied Sciences



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.


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Author Biographies

Shahad L. Galib, Department of Applied Sciences

طالبة ماجستير مرحلة البحث قسم العلوم التطبيقية فرع الرياضيات وتطبيقات الحاسوب

Fouad S. Tahir, Department of Applied Sciences

استاذ مساعد في الرياضيات وتطبيقات الحاسوب



How to Cite

Galib, S. L. ., Tahir, F. S. ., & Abdulrahman, A. A. . (2021). Detection Face Parts in Image Using Neural Network Based on MATLAB . Engineering and Technology Journal, 39(1B), 159-164.