Please use this identifier to cite or link to this item:
Title: Face recognition using a fourier polar based approach
Authors: Ishac, Dany
Yammine, Grace
Abche, Antoine 
Affiliations: Department of Electrical Engineering 
Keywords: Correlation coefficient
Fourier polar based approach
Face recognition approach
Human identification
Discrete Fourier transforms
Spatial image
Polar mapping
Face rotation
Issue Date: 2015
Publisher: IEEE
Part of: International Conference on Systems, Signals and Image Processing (IWSSIP 2015)
Start page: 200
End page: 203
Conference: International Conference on Systems, Signals and Image Processing (IWSSIP 2015) (22nd : 10-12 Sept. 2015 : London, UK) 
In this work, a face recognition approach for human identification is proposed. It is based on the Discrete Fourier Transform of the original spatial image and on the polar mapping of the spectrum of the latter image. While the first step eliminates the translation's effect between faces, the second step minimizes the effect of any face's rotation. The approach is evaluated by studying its performance with other existing techniques using a correlation coefficient as a similarity measure for comparison purposes. Besides, the effect of the number of images used in the training procedure is studied. The results show that the proposed technique outperforms the other techniques and a recognition of 100 percent is possible as the number of training images is increased.
Open URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

Show full item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.