NDLI: Face Recognition Based on Image Enhancement and Gabor Features

Content Provider	IEEE Xplore Digital Library
Author	Guoqiang Wang Zongying Ou
Copyright Year	2006
Description	Author affiliation: Key Lab. for Precision & Non-traditional Machining Technol., Dalian Univ. of Technol. (Guoqiang Wang; Zongying Ou)
Abstract	Variations in lighting conditions, pose and expression make face recognition an even more challenging and difficult task. This paper presents a face recognition approach by using image enhancement and Gabor wavelets transformation. In face recognition, image preprocessing is the key step since it is important to features extract and recognition. Logarithm transformation and normalization are performed in face images captured under various lighting conditions for face recognition. This involves convolving a face image with a series of Gabor wavelets at different scales, locations, and orientations and extracting features from Gabor filtered images. Significant improvements are also observed when the preprocessing and Gabor filtered images are used for feature extraction instead of the original images. The approach achieves 94.4% recognition accuracy using only 160 features of a face image. Experimental results show that the proposed approach improves face recognition performance using this scheme when training and testing on images captured under variable illumination and expression
Starting Page	9761
Ending Page	9764
File Size	153573
Page Count	4
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Image enhancement Feature extraction Principal component analysis Educational technology Image recognition Gabor filters Lighting Business Pattern recognition face recognition Logarithm transformation normalization Gabor wavelets
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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