Add to ORKGExtraction of invariant features is the core of Face RecognitionSystems (FRS). This work proposes a novel feature extractor-fusion scheme using two powerful feature descriptor known as Gabor Filters (GFs) and Histogram of Oriented Gradient (HOG), which the face image is filtered with the multiscale multiresolution Gabor filter bank to generate multiple Gabor magnitude images (GMIs), then the down-sampled GMIs and apply Histogram of Oriented Gradient to form the features. The experimental results on the FERET face database show the effectiveness of our methods
Face detection is a preprocessing step for face recognition algorithms. It is the localization of f...
For face recognition, Gabor features are effectively used. But, only a few approaches used Gabor pha...
Face recognition is an important biometric method because of its potential applications in many fie...
1st Asian Conference on Pattern Recognition, ACPR 2011, Beijing, 28 November 2011Gabor filters can e...
AbstractThis paper proposes a novel face recognition and representation approach using Gabor filters...
wechsler @ cs.gmu.edu This paper describes a novel Gabor Feature Class$er (GFC) method for face reco...
A discriminative and robust feature- kernel enhanced informative Gabor feature is proposed in this p...
Abstract. A feature extraction method using multi-frequency bands is proposed for face recognition, ...
Face recognition is a process of analyzing (or) comparing face with the previously stored face image...
In this work a novel feature extraction approach for face recognition is proposed. The method is bas...
Gabor-based face representation has achieved enormous success in face recognition. This paper addres...
In order to enhance the accuracy of multi-pose and multi-expression face detection, this paper propo...
This paper proposes a new image representation method named Histograms of Gabor Ordinal Measures (HO...
AbstractFace Recognition (FR) across pose, illumination and expression is a problem of fundamental i...
Abstract—This paper provides a study on Face Recognition Algorithms; several methods are used to ext...
Face detection is a preprocessing step for face recognition algorithms. It is the localization of f...
For face recognition, Gabor features are effectively used. But, only a few approaches used Gabor pha...
Face recognition is an important biometric method because of its potential applications in many fie...
1st Asian Conference on Pattern Recognition, ACPR 2011, Beijing, 28 November 2011Gabor filters can e...
AbstractThis paper proposes a novel face recognition and representation approach using Gabor filters...
wechsler @ cs.gmu.edu This paper describes a novel Gabor Feature Class$er (GFC) method for face reco...
A discriminative and robust feature- kernel enhanced informative Gabor feature is proposed in this p...
Abstract. A feature extraction method using multi-frequency bands is proposed for face recognition, ...
Face recognition is a process of analyzing (or) comparing face with the previously stored face image...
In this work a novel feature extraction approach for face recognition is proposed. The method is bas...
Gabor-based face representation has achieved enormous success in face recognition. This paper addres...
In order to enhance the accuracy of multi-pose and multi-expression face detection, this paper propo...
This paper proposes a new image representation method named Histograms of Gabor Ordinal Measures (HO...
AbstractFace Recognition (FR) across pose, illumination and expression is a problem of fundamental i...
Abstract—This paper provides a study on Face Recognition Algorithms; several methods are used to ext...
Face detection is a preprocessing step for face recognition algorithms. It is the localization of f...
For face recognition, Gabor features are effectively used. But, only a few approaches used Gabor pha...
Face recognition is an important biometric method because of its potential applications in many fie...