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The traditional Principal Component Analysis (PCA) can only remove first- and second-order correlation between various components of data. To solve this problem and gain the features sensitive to the high-order information, two different architectures of independent principle component analysis (ICA) for palm-dorsa vein recognition are discussed, ICA architecture I based on statistically independent...
Edge detecting is the most important pre-processing in image analysis, feature extraction and recognition. Gradient is a basilic measure of edge images, and we can calculate the values of magnitude and rotation of edges with it. We analyse the first-order difference detectors first, such as Robert, Prewitt and Sobel detectors, then we analyse the Laplacian detector, that is a second-order difference...
A method of extraction and recognition alphabetic and digital characters on industrial containers on automatic production line is proposed. A thinned image is viewed as a graph. In the procession of image recognition of industrial containers, the number of endpoint is considered as integrate features of those 10 digital and 26 capital English alphabetic character images, which can be used for character...
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