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In this paper, we propose an adaptive template-matching method to recognize of low-resolution license number. The first step is to extract license plate from low-resolution image by manual. The license plate is divided into several blocks, and every block corresponds to a license character. Subsequently, we estimate the adaptive filter via pesudoinverse operation, and it is applied to template to...
On the basis of the vehicle license plate location, an image grey vertical projection segmentation approach based on the distribution character segmentation is proposed in this paper. A two-stage approach consisting of coarse and accurate segmentation is adopted. It can increase the accuracy of the segmentation and has good segmentation speed. And in recognition process, character features are extracted...
In this study, a simple and effective method is proposed for segmenting alphanumeric and numeric characters on vehicle license plates and recognizing the segmented characters. The proposed approach is basically based on template matching technique. Features used for matching are obtained by scanning the segmented characters from left-to-right, right-to-left, top-to-bottom, and bottom-to-top. The features...
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