Add to ORKGAbstract-A Face Recognition system is computer application for automatically identifying or verifying a person from a digital image or a video frame. Due to the change of lighting condition, expression, occlusion, rotation, etc. the human face appearance could change considerably. In this project a model based approach is used. In this approach the Moment based feature extraction techniques (Hu’s Moments and Zernike Moments) are implemented on two different face databases containing different poses of the face. Extracted feature are classified by kNN classifier and Correct Recognition Rate is calculated
This paper presents a method for face recognition across variations in pose ranging from frontal ...
Face recognition is an important biological authentication technology. In this thesis, we study face...
Face recognition is the field of great interest in the domaine of research for several applications ...
Abstract—Face recognition is an interesting field of computer vision with many commercial and scient...
The face recognition process is widely studied, and the researchers made great achievements, but the...
Human face recognition is best application in pattern recognition for identification and recognition...
Image-based face recognition has attained wide applications during the past decades in commerce and ...
Automatic recognition of individuals is a significant problem in the field of pattern recognition. T...
Moment-based Angular Radial Transform, Legendre moment invariants and Zernike moments are a family o...
The wide range of variations in human face due to view point, pose, illumination and expression dete...
This dissertation presents an approach to pose invariant human face image recognition.The proposed s...
Face recognition is a technology in which a computing device either classifies a human identity base...
pose classification. Abstract: We present a robust front-end pose classification/estimation procedur...
Abstract. Pose variance remains a challenging problem for face recognition. In this paper, a scheme ...
Doctor en Ingeniería EléctricaFace recognition is one of the most active areas of research in comput...
This paper presents a method for face recognition across variations in pose ranging from frontal ...
Face recognition is an important biological authentication technology. In this thesis, we study face...
Face recognition is the field of great interest in the domaine of research for several applications ...
Abstract—Face recognition is an interesting field of computer vision with many commercial and scient...
The face recognition process is widely studied, and the researchers made great achievements, but the...
Human face recognition is best application in pattern recognition for identification and recognition...
Image-based face recognition has attained wide applications during the past decades in commerce and ...
Automatic recognition of individuals is a significant problem in the field of pattern recognition. T...
Moment-based Angular Radial Transform, Legendre moment invariants and Zernike moments are a family o...
The wide range of variations in human face due to view point, pose, illumination and expression dete...
This dissertation presents an approach to pose invariant human face image recognition.The proposed s...
Face recognition is a technology in which a computing device either classifies a human identity base...
pose classification. Abstract: We present a robust front-end pose classification/estimation procedur...
Abstract. Pose variance remains a challenging problem for face recognition. In this paper, a scheme ...
Doctor en Ingeniería EléctricaFace recognition is one of the most active areas of research in comput...
This paper presents a method for face recognition across variations in pose ranging from frontal ...
Face recognition is an important biological authentication technology. In this thesis, we study face...
Face recognition is the field of great interest in the domaine of research for several applications ...