2D Gaborface representation method for face recognition with ensemble and multichannel model

Authors:
Lin Wang;Yongping Li;Chengbo Wang;Hongzhou Zhang
Affiliations:
The Center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 201800 Shanghai, China;The Center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 201800 Shanghai, China;The Center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 201800 Shanghai, China;The Center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 201800 Shanghai, China
Venue:
Image and Vision Computing
Year:
2008

Citing 10
Cited 4

Multichannel Texture Analysis Using Localized Spatial Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Representation Using 2D Gabor Wavelets

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Combining Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Null Space-based Gabor Features for Face Recognition

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Letters: (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition

Neurocomputing
A novel 2d gabor wavelets window method for face recognition

MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing

Face Recognition Based on Histogram of Modular Gabor Feature and Support Vector Machines

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Principal Gabor filters for face recognition

BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Object recognition using Gabor co-occurrence similarity

Pattern Recognition
Multi-resolution feature fusion for face recognition

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a scheme that is based on linear correlation criterion to select optimized Gabor filter bank. In addition, by using 2D Gaborface matrices rather than transformed 1D feature vectors, a novel Gaborface-based 2DPCA and (2D)^2PCA classification method is introduced. Two kinds of strategies to use the bank of Gaborfaces are proposed: ensemble Gaborface representation (EGFR) and multichannel Gaborface representation (MGFR). The feasibility of our method is proved with the experimental results on the ORL, Yale and FERET databases. In particular, the MGFR-based (2D)^2PCA method achieves 100% recognition accuracy for ORL database, and 98.89% accuracy for Yale database with five training samples per class, and 99.5% accuracy for FERET database.