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This paper proposes a novel method for license plate (LP) detection from images with complex background. First, it segments images with an adaptive binarization method to avoid the problem that nonuniform illumination creates, and some undesired image areas are removed by limiting the range of region properties of connected components (CCs). Secondly, CC analysis is used to construct nearest neighbor...
In this paper, we present an algorithm for segmentation and feature extraction for noisy range images. We use the edge- and region-based approach for obtaining reliable segmentation maps. For edge detection, regions having much higher values of planar fit error are assumed to contain edges. These edge regions are explored for detection of crease edges, which can be located at the maxima of the...
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