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A method is proposed to locate text in camera- captured guidepost images. Firstly, due to its advantage of smoothing the low contrast information, mean shift method is applied to remove some complex background. In order to improve the time efficiency, we modify the traditional mean shift method. Secondly, two stage features are used for the edge map of image to classify it into candidate text blocks...
A visual attention based approach is proposed to extract texts from complicated background in camera-based images. First, it applies the simplified visual attention model to highlight the region of interest (ROI) in an input image and to yield a map, named the VA map, consisting of the ROIs. Second, an edge map of image containing the edge information of four directions is obtained by Sobel operators...
Skew detection acts as an important role in document image analysis systems. Many methods have been designed for text-dominant document images, but they usually fail in handling formula-dominant images. Hough transform is an effective method to estimate the skew angle of formulas with fraction bars, but cannot dealing with formulas without fraction bars. This paper presents a skew angle detection...
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