I. M. El-Henawy

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Price index forecasting is one of the most important problems in financial markets. In the past decades the prediction of stock index has played a vital role in the financial situation of several companies which have stocks in the market. In this paper we use Multi Layer Perceptron (MLP) neural network in stock index prediction. Three searching algorithms(More)
This paper presents a novel online signature verification method that uses PCA for dimensional-reduction of signature snapshot. The resulting vectors from PCA are submitted to a multilayer perceptron (MLP) neural network with EBP and sigmoid activation function. In the other hand, Dynamic features such as x, y coordinates, pressure, velocity, acceleration,(More)
In this paper a new video watermarking scheme is proposed which depends on 2-level DWT decomposition of each component of RGB components in each frame. The scheme embeds independent watermarks into different shots. The matching between shots and watermarks is based on GA. The scheme chooses between HL1 of red or green or blue components of each frame based(More)
In this paper, we present a new blind image deblurring technique based on sparse representation and orthogonal projections of filtered patches. First, we use predefined sparse dictionaries to estimate an initial version of the latent image. To estimate the PSF, four stages are performed. First, a set of directional low-pass filters are applied to the input(More)
Content-Based Image Retrieval (CBIR) systems have been widely used for a wide range of applications such as Art collections, Crime prevention and Intellectual property. In this paper, a novel CBIR system, which utilizes visual contents (color, texture and shape) of an image to retrieve images, is proposed. The proposed system builds three feature vectors(More)
Automatic classification of human actions in video streams is considered one of the promising fields in computer vision, especially in the fields of video indexing, gesture recognition, and surveillance of sensitive assets. In this paper, we presented a sequential based approach for action recognition based on random sample consensus (RANSAC) matching of(More)
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