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Analysis of correspondences applied to vehicle plates using descriptors in visible spectrum

Abstract:

Recognition of regions is consolidated as a branch of the computer vision that so far no limitation, new developments are being developed every day methods that allow more or less precision; distinguish points, areas and elements of interest both in photographs as well as video. There are currently several comparative studies which focus on analysis of descriptors on images without regions, so the proposal of this study intended to show a comparative analysis of the methods and algorithms that are more robust with respect to descriptors focused on the detection of license plates, in the end we obtain values of robustness that they compare with studies of correspondence previous ones.