A SVM face recognition method based on optimized Gabor features

Authors:
Linlin Shen;Li Bai;Zhen Ji
Affiliations:
Faculty of Information & Engineering, Shenzhen University, China;School of Computer Science & Information Technology, University of Nottingham, UK;Faculty of Information & Engineering, Shenzhen University, China
Venue:
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Year:
2007

Citing 14
Cited 1

Face Recognition by Elastic Bunch Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods

An introduction to support Vector Machines: and other kernel-based learning methods
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery
Distortion Invariant Object Recognition in the Dynamic Link Architecture

IEEE Transactions on Computers
Face Recognition Based on Multiple Facial Features

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face Recognition Using Principal Component Analysis of Gabor Filter Responses

RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Information Fusion in Face Identification

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A review on Gabor wavelets for face recognition

Pattern Analysis & Applications
MutualBoost learning for selecting Gabor features for face recognition

Pattern Recognition Letters
Gabor wavelets and General Discriminant Analysis for face identification and verification

Image and Vision Computing
Gabor wavelets and General Discriminant Analysis for face identification and verification

Image and Vision Computing
Face authentication with Gabor information on deformable graphs

IEEE Transactions on Image Processing
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing

Compact binary patterns (CBP) with multiple patch classifiers for fast and accurate face recognition

CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel Support Vector Machine (SVM) face recognition method using optimized Gabor features is presented in this paper. 200 Gabor features are first selected by a boosting algorithm, which are then combined with SVM to build a two-class based face recognition system. While computation and memory cost of the Gabor feature extraction process has been significantly reduced, our method has achieved the same accuracy as a Gabor feature and Linear Discriminant Analysis (LDA) based multi-class system.