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This paper addresses the localization and super resolution of license plate in a unifying approach. Higher quality license plate can be obtained using super resolution on successive lower resolution plate images. All existing methods assume that plate zones are correctly extracted from every frame. However, the accurate localization needs a sufficient quality of the image, which is not always true...
This paper presents a novel texture descriptor based on line-segment features for text detection in images and video sequences, which is applied to build a robust car license plate localization system. Unlike most of existing approaches which use low level features (color, edge) for text/non-text discrimination, our aim is to exploit more accurate perceptual information. A - scale and rotation invariant...
In this paper, we present a real-time and robust license plate localization method for traffic control applications. According to our approach, edge content of gray-scale image is approximated using line segments features by means of a local connective Hough transform. Then a new, scale and rotation invariant, texture descriptor which describes the regularity, similarity, directionality and alignment...
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