Conference Paper2016Cited by 3

Gabor phase representation on human face recognition for distorted images

Bruce Poon, M Ashraful Amin, Hong Yan

2016 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

IEEE, pp. 276–281

Abstract

It is always a challenge to recognize human face from distorted images. This paper examines classification capability of Gabor phase representations on human face recognition for distorted images and the findings are compared with the results from principle component analysis.

Keywords

  • face recognition
  • distorted images
  • Principal component analysis
  • image distortion
  • Feature extraction
  • classification

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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  2. 2.Ali Elmahmudi, Hassan Ugail. (2019). The Biharmonic Eigenface. Signal Image and Video Processing, 13(8), 1639–1647[10.1007/s11760-019-01514-4]
  3. 3.Shivali Devi, Pushpendra Kumar Pateriya. (2017). Retracted: Automatic system for recognition and identification of human objects. , 236–244[10.1109/iccons.2017.8250717]