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- W2364336871 abstract "There are many useful applications for a LPR (License Plate Recognition) system. The LPR algorithm consists of three steps: license plate locating, character segmentation and character recognition. Character segmentation is an important step in a LPR system. There are many factors that cause the character segmentation task difficult, such as image noise, plate frame, rivet, space mark, plate rotation and illumination variance. This paper presents a new algorithm for character segmentation, using Hough transformation and the prior knowledge in horizontal and vertical segmentation respectively. Furthermore, an object enhancement technique is used in image preprocessing. The algorithm overcomes the difficulties mentioned above and avoids the abruption and conglutination of characters that are the drawbacks of image binarization algorithms. And the segmentation is more accurate and robust than simple projection methods. The experiment results show the good performance of the segmentation algorithm." @default.
- W2364336871 created "2016-06-24" @default.
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- W2364336871 date "2004-01-01" @default.
- W2364336871 modified "2023-09-25" @default.
- W2364336871 title "SegmentingCharacters of License Plate by Hough Transformation and the Prior Knowledge" @default.
- W2364336871 hasPublicationYear "2004" @default.
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