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

Authors:
Xiaodong Li;Shumin Fei;Tao Zhang
Affiliations:
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China 210096 and School of Automation, Southeast University, Nanj ...;Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China 210096 and School of Automation, Southeast University, Nanj ...;Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China 210096 and School of Automation, Southeast University, Nanj ...
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

Citing 19
Cited 0

The nature of statistical learning theory

The nature of statistical learning theory
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey

ACM Computing Surveys (CSUR)
Overview of the Face Recognition Grand Challenge

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Face recognition from a single image per person: A survey

Pattern Recognition
Weighted Sub-Gabor 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
Simplified Gabor wavelets for human face recognition

Pattern Recognition
Eigenfaces for recognition

Journal of Cognitive Neuroscience
2D Gaborface representation method for face recognition with ensemble and multichannel model

Image and Vision Computing
Letters: Palmprint recognition using Gabor feature-based (2D)2PCA

Neurocomputing
Letters: A novel face recognition approach based on kernel discriminative common vectors (KDCV) feature extraction and RBF neural network

Neurocomputing
Letters: Two-dimensional direct and weighted linear discriminant analysis for face 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
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a novel face recognition algorithm based on histogram of modular Gabor feature and support vector machines is proposed. In this method, each face image is separate into several parts on which Gabor transformation is performed, respectively and then employed 2DPCA for dimensionality reduction. Subsequently, histogram sequences are calculated based on these coefficient features. The final features of face image can be obtained by the fusion of the normalized histogram sequences using weight scheme. Finally, support vector machines is used as classifier. Several experiments on popular face databases such as CAL-PEAL and FERET demonstrate the effectiveness of the proposed method.