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In this paper a new license plates recognition method using a Neural Network, trained by Chaotic Imperialistic Algorithms (CICA), is introduced. In this paper the background of the plate image is omitted, the characters are separated, and then the features of the characters are extracted. The features vector is feed into a multi layered perception neural network trained by CICA. Our dataset include...
Super resolution aims to produce a high-resolution image from a set of low-resolution images. Varieties of techniques have been proposed for this task. Among them, optimization methods have been used frequently to combine information in low-resolution images. Optimization methods minimize an error function usually consisting two terms. The first one models similarity between high and low resolution...
In this paper we present a novel LSB matching steganalysis method based on feature vectors derived from co-occurrence matrix in spatial domain, which is sensitive to data embedding process. This matrix is derived from an image that some of its most significant bit planes are removed. By this preprocessing in addition to decrease the size of feature vector also preserve effects of embedding. We investigate...
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