Recent Advancements in Gabor Wavelet-Based Face Recognition
Author:
Affiliation:
1. Computer Vision and Cybernetics Research Group, School of Engineering and Computer Science, Independent University Bangladesh, Bangladesh
2. School of Engineering and Computer Science, Independent University Bangladesh, Bangladesh
Abstract
Publisher
IGI Global
Reference60 articles.
1. Face recognition: the problem of compensating for changes in illumination direction
2. Aly, S., Shimada, A., Tsuruta, N., & Taniguchi, R. (2010). Robust Face Recognition Using Multiple Self-Organized Gabor Features and Local Similarity Matching. In Proceedings of the 20th International Conference on Pattern Recognition (ICPR), (pp. 2909-2912). IEEE.
3. AN EMPIRICAL STUDY ON THE CHARACTERISTICS OF GABOR REPRESENTATIONS FOR FACE RECOGNITION
4. Reinterpreting the Application of Gabor Filters as a Manipulation of the Margin in Linear Support Vector Machines
5. A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model.;G.Azzopardi;Biological Cybernetics,2012
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1. A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition;International Journal of Machine Learning and Cybernetics;2015-10-26
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