A Review on Face Detection Based on Convolution Neural Network Techniques

Authors

  • Hayder Kadhim Dhahir Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq
  • Nassir Hussein Salman Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2022.63.4.39

Keywords:

Face detection, Convolutional neural networks, Face recognition, Deep learning

Abstract

     Face detection is one of the important applications of biometric technology and image processing. Convolutional neural networks (CNN) have been successfully used with great results in the areas of image processing as well as pattern recognition. In the recent years, deep learning techniques specifically CNN techniques have achieved marvellous accuracy rates on face detection field. Therefore, this study provides a comprehensive analysis of face detection research and applications that use various CNN methods and algorithms. This paper presents ten of the most recent studies and illustrate the achieved performance of each method. 

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Published

2022-04-30

How to Cite

Dhahir, H. K. ., & Salman, N. H. . (2022). A Review on Face Detection Based on Convolution Neural Network Techniques. Iraqi Journal of Science, 63(4), 1823–1835. https://doi.org/10.24996/ijs.2022.63.4.39

Issue

Section

Computer Science

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