Fast Features for Face Authentication Under Illumination Direction Changes

Sanderson, Conrad and Paliwal, Kuldip K. (2003) Fast Features for Face Authentication Under Illumination Direction Changes. Pattern Recognition Letters, 24 14: 2409-2419. doi:10.1016/S0167-8655(03)00070-9

Author Sanderson, Conrad
Paliwal, Kuldip K.
Title Fast Features for Face Authentication Under Illumination Direction Changes
Journal name Pattern Recognition Letters   Check publisher's open access policy
ISSN 0167-8655
Publication date 2003-10-01
Sub-type Article (original research)
DOI 10.1016/S0167-8655(03)00070-9
Open Access Status Not Open Access
Volume 24
Issue 14
Start page 2409
End page 2419
Total pages 11
Place of publication Amsterdam : North-Holland
Publisher Elsevier B.V.
Language eng
Subject 080106 Image Processing
080104 Computer Vision
080109 Pattern Recognition and Data Mining
010401 Applied Statistics
Abstract In this letter we propose a facial feature extraction technique which utilizes polynomial coefficients derived from 2D Discrete Cosine Transform (DCT) coefficients obtained from horizontally and vertically neighbouring blocks. Face authentication results on the VidTIMIT database suggest that the proposed feature set is superior (in terms of robustness to illumination changes and discrimination ability) to features extracted using four popular methods: Principal Component Analysis (PCA), PCA with histogram equalization pre-processing, 2D DCT and 2D Gabor wavelets; the results also suggest that histogram equalization pre-processing increases the error rate and offers no help against illumination changes. Moreover, the proposed feature set is over 80 times faster to compute than features based on Gabor wavelets. Further experiments on the Weizmann database also show that the proposed approach is more robust than 2D Gabor wavelets and 2D DCT coefficients.
Keyword Face authentication
Illumination changes
Polynomial coefficients
Gabor wavelets
Discrete cosine transform
Histogram equalization
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 73 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 01 Apr 2009, 19:30:51 EST by Laura McTaggart on behalf of School of Information Technol and Elec Engineering