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In order to improve the discriminant power, a new discriminant analysis algorithm is proposed based on Fisher's linear discriminant, called variant fisher discriminant analysis with orthogonal discriminant components (VFDAODC). The basic idea of the proposed VFDAODC is to overcome the problems of the conventional fisher discriminant analysis algorithm. First, a two-step feature extraction procedure...
Vehicle classification is a hard task in ITS. A real-time vehicle classification method based on eigenface is proposed, it includes two main steps: training and classification. In the training step, first, using the time average image approach to obtain and update the background model, and then, using the background difference approach to detect and extract the outline of a moving vehicle, furthermore...
Locality preserving projection (LPP) is a promising manifold learning approach for dimensionality reduction. However, it often encounters small sample size (3S) problem in face recognition tasks. To overcome this limitation, this paper proposes a discrete sine transform (DST) feature extraction approach and develops a DST-feature based LPP algorithm for face recognition. The proposed method has been...
In this paper, a novel gray-level image watermarking algorithm based on local feature region and Singular Value Decomposition (SVD) is presented for copyright protection. A new way which utilizes the Binary Coded Decimal (BCD) method and encodes the gray-level secret information into bit string is used. It employs the singular values of SVD to extract the most valuable features of the watermark image...
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