It exploits two well-known approaches namely DCT and LDA. Using LDA on selected spectral components of the DCT better separation of classes can be achieved.
Summary. In the article new method of face recognition is considered. It exploits two well-known approaches namely DCT and LDA. Using LDA on selected ...
Abstract: It has been demonstrated that the linear discriminant analysis (LDA) is an effective approach in face recognition tasks.
Abstract: A face recognition method based on the discrete cosine transform (DCT) and two dimensional linear discriminant analysis (2DLDA) is presented.
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But as we will show in this paper some methods such as DCT could have better results than PCA when applying to images before applying LDA. The rest of the paper ...
This paper presents an alternative real time face recognition using DCT coefficients based face descriptor. The face descriptor consists of dominant ...
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete. Cosine Transform (DCT), Energy ...
An automatic face recognition system which is VQ-based is described and the effects of feature selection, feature dimensionality and codebook size on ...
It exploits two well-known approaches namely DCT and LDA. Using LDA on selected spectral components of the DCT better separation of classes can be achieved.
After concatenating these DCT based facial holistic and local features to a facial combined feature vector, I-LDA is employed to obtain a low-dimensional facial ...