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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feng Yang Zheng Ma Mei Xie |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Commun. & Information Eng., University of Electron. Sci. & Technol. of China, Chengdu (Feng Yang; Zheng Ma) |
| Abstract | Binarization of a gray scale license plate image is one of the most important steps of license plate recognition (LPR). It segments a license plate image into foreground and background. The foreground contains the characters to be segmented. This paper presents a compensation-based and central-scanned license plate image binarization approach. The approach enhances the license plate image with a contrast-stretching transformation at first. Then it applies a compensation-based binarization technique to the whole image and utilizes a central-scanned method to unify those license plate images with black character and white background after previous binarization. Experimental results on a number of license plate images show that our binarization approach combining compensation and central-scan is efficient even in situations of overexposure and underexposure |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 232229 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395131 |
| DOI | 10.1109/ICIEA.2006.257232 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-24 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Licenses Image segmentation Lighting Machine vision Histograms Shape measurement Image recognition Inspection Image processing Pixel |
| Content Type | Text |
| Resource Type | Article |
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