A Robust Face Recognition Model based on Convolutional Neural Networks

Authors

  • Farooq Ahmad Bhat University Of Kashmir
  • M. Arif Wani

Keywords:

Deep Learning, Convolutional Neural Network, Deep Convolutional Neural Network, Face Recognition, Principal Component Analysis, Linear Discriminant Analysis, Gabor Wavelet Transform, Independent Component Analysis,

Abstract

From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end we propose a Deep Convolutional Neural Network architecture which consists of number of layers to overcome these challenging problems in face recognition. General discussion on deep learning is presented in the paper followed by brief introduction of various deep architectures. Detailed discussion on convolutional neural network is also given. Experimentation has been carried on the six benchmark face datasets varying in expression, illumination and poses and the results have been analyzed. The six face datasets on which we performed the experiments are ORL, Faces94, Yale, Yale-B, FERET, and CVL Faces. Performance comparison of the proposed approach with the already existing architectures i.e. Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Discrete Cosine Transform (DCT), Independent Component Analysis (ICA) and Gabor Wavelet Transform (GWT) has been done.

Keywords: Robustness, efficiency, deep learning, face recognition, principal component analysis, linear discriminant analysis, independent component analysis, Gabor wavelet transform, neural networks, convolutional neural networks 

Cite this Article

Farooq Ahmad Bhat, Arif Wani M. A Robust Face Recognition Model based on Convolutional Neural Networks. Journal of Artificial Intelligence Research & Advances. 2018; 5(1): 1–11p.

Author Biography

  • Farooq Ahmad Bhat, University Of Kashmir
    Farooq Ahmad Bhat is currently pursuing Ph.D at P. G. Department of Computer Science, UOK after completing M.Phil from the same institution. He completed his masters in Computer Science from Central University of Rajasthan. His research areas include Machine Learning, Artificial Intelligence and Computer Vision with specific focus on face recognition aspects like Expression, illumination, and poses problem. He has contributed to various Journals of in ternational repute besides attending many international conferences sponsored by agencies like IEEE.

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Published

2018-02-08

Issue

Vol. 5 No. 1 (2018)

Section

Research Articles

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