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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhen-Xue Chen Cheng-Yun Liu Fa-Liang Chang Jian-Guang Xu |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Control Science & Engineering Shandong University Jinan 250061, China (Zhen-Xue Chen; Cheng-Yun Liu; Fa-Liang Chang; Jian-Guang Xu) |
| Abstract | Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system. A novel locating approach based on the texture feature is presented in this paper. Analyzing the texture of plate image, this paper makes one dimension cycle clear method for map of horizontal projection. This method can effectively filter the noise and clutter around car license plates, and accurately locate them. A set of experiments has been performed to prove the robustness and accuracy of the approach. For many images collected from a large traffic crossing, the experimental results show that 98.5% of them are correctly segmented. |
| Starting Page | 1360 |
| Ending Page | 1363 |
| File Size | 1030343 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424447947 |
| DOI | 10.1109/ICAL.2009.5262747 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection ITS (Intelligent Transport System) Licenses texture feature Noise shaping Image texture analysis Vehicles Histograms one dimension cycle clear (1-DCC) Filters image enhancement Neural networks vehicle license plate location Noise robustness projection Image enhancement |
| Content Type | Text |
| Resource Type | Article |
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