Add to ORKGIn this paper, a local appearance based face recognition algorithm is proposed. In the proposed algorithm local information is extracted using block-based discrete cosine transform. Obtained local features are combined both at the feature level and at the decision level. The performance of the proposed algorithm is tested on the Yale and CMU PIE face databases, and the obtained results show significant improvement over the holistic approaches. 1
A face recognition system using an integration of Discrete Cosine Transform (DCT) and Vector quantiz...
In this paper, a novel illumination invariant face recognition approach is proposed. Different from ...
Abstract. This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for hum...
In this paper we propose a new method for face recognition using a Support Vector Machine and the Di...
This paper proposes a progressive sparse representation-based classification algorithm using local d...
The goal of this research project was to come up with a combined face recognition algorithm which ou...
Face recognition is a computer vision application based on biometric information for automatic perso...
A face recognition system using an integration of Discrete Cosine Transform (DCT) and Support Vector...
For face recognition, it is very important determining which features of the faces will be used in t...
Face recognition is a biometric identification methodwhich among the other methods such as, finger p...
Face recognition is one of the wide applications of image processing technique. In this paper comple...
In this paper, a spectral domain feature extraction algorithm for face recognition is proposed, whic...
This paper develops a Linear Discriminant Analysis based face recognition system in the Discrete Cos...
Abstract: Face Recognition is a well-known image processing technique that has been used in many app...
Requirement for a person to face a camera for face identification process may no longer be necessary...
A face recognition system using an integration of Discrete Cosine Transform (DCT) and Vector quantiz...
In this paper, a novel illumination invariant face recognition approach is proposed. Different from ...
Abstract. This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for hum...
In this paper we propose a new method for face recognition using a Support Vector Machine and the Di...
This paper proposes a progressive sparse representation-based classification algorithm using local d...
The goal of this research project was to come up with a combined face recognition algorithm which ou...
Face recognition is a computer vision application based on biometric information for automatic perso...
A face recognition system using an integration of Discrete Cosine Transform (DCT) and Support Vector...
For face recognition, it is very important determining which features of the faces will be used in t...
Face recognition is a biometric identification methodwhich among the other methods such as, finger p...
Face recognition is one of the wide applications of image processing technique. In this paper comple...
In this paper, a spectral domain feature extraction algorithm for face recognition is proposed, whic...
This paper develops a Linear Discriminant Analysis based face recognition system in the Discrete Cos...
Abstract: Face Recognition is a well-known image processing technique that has been used in many app...
Requirement for a person to face a camera for face identification process may no longer be necessary...
A face recognition system using an integration of Discrete Cosine Transform (DCT) and Vector quantiz...
In this paper, a novel illumination invariant face recognition approach is proposed. Different from ...
Abstract. This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for hum...