Performance of the face verification system depend on many conditions. One of the most problematic is varying illumination condition. In this paper 14 normalization algorithms based on histogram normalization, illumination properties and the human perception theory were compared using 3 verification methods. The results obtained from the experiments showed that the illumination preprocessing methods significantly improves the verification rate and it’s a very important step in face verification system
After forty years research, face recognition technology has made significant progress, but there are...
AbstractFace recognition is one of a complex biometrics in the field of pattern recognition due to t...
ABSTRACT Face recognition is one of a complex biometrics in the field of pattern recognition due to ...
Performance of the face verification system depend on many conditions. One of the most problematic i...
Automatic face recognition is a challenging task due to intra-class variations. Changes in lighting ...
The task of face verification is made more difficult when the illumination conditions of image captu...
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor...
AbstractPose, expression and illumination variation are some challenges in face verification researc...
Illumination invariance is one of the most difficult properties to achieve in a face recognition sys...
Face recognition has been actively investigated by the scientific community and has already taken it...
In this paper, an efficient representation method insensitive to varying illumination is proposed fo...
In this paper, the problem of face verification across illumination is addressed. In order to cope w...
In the last years, face recognition has become a popular area of research in computer vision, it is ...
The changing environment, in reality, causes chief occlusions in face recognition. In other words, u...
After forty years research, face recognition technology has made significant progress, but there are...
After forty years research, face recognition technology has made significant progress, but there are...
AbstractFace recognition is one of a complex biometrics in the field of pattern recognition due to t...
ABSTRACT Face recognition is one of a complex biometrics in the field of pattern recognition due to ...
Performance of the face verification system depend on many conditions. One of the most problematic i...
Automatic face recognition is a challenging task due to intra-class variations. Changes in lighting ...
The task of face verification is made more difficult when the illumination conditions of image captu...
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor...
AbstractPose, expression and illumination variation are some challenges in face verification researc...
Illumination invariance is one of the most difficult properties to achieve in a face recognition sys...
Face recognition has been actively investigated by the scientific community and has already taken it...
In this paper, an efficient representation method insensitive to varying illumination is proposed fo...
In this paper, the problem of face verification across illumination is addressed. In order to cope w...
In the last years, face recognition has become a popular area of research in computer vision, it is ...
The changing environment, in reality, causes chief occlusions in face recognition. In other words, u...
After forty years research, face recognition technology has made significant progress, but there are...
After forty years research, face recognition technology has made significant progress, but there are...
AbstractFace recognition is one of a complex biometrics in the field of pattern recognition due to t...
ABSTRACT Face recognition is one of a complex biometrics in the field of pattern recognition due to ...