Vertical-edge-based car-license-plate detection method
This paper proposes a fast method for car-license-plate detection (CLPD) and presents three main contributions. The first contribution is that we propose a fast vertical edge detection algorithm (VEDA) based on the contrast between the grayscale values, which enhances the speed of the CLPD method. A...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28590/1/28590.pdf |
| _version_ | 1825947346017452032 |
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| author | Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ramli, Abdul Rahman Ismail, Alyani |
| author_facet | Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ramli, Abdul Rahman Ismail, Alyani |
| author_sort | Al-Ghaili, Abbas Mohammed Ali |
| collection | UPM |
| description | This paper proposes a fast method for car-license-plate detection (CLPD) and presents three main contributions. The first contribution is that we propose a fast vertical edge detection algorithm (VEDA) based on the contrast between the grayscale values, which enhances the speed of the CLPD method. After binarizing the input image using adaptive thresholding (AT), an unwanted-line elimination algorithm (ULEA) is proposed to enhance the image, and then, the VEDA is applied. The second contribution is that our proposed CLPD method processes very-low-resolution images taken by a web camera. After the vertical edges have been detected by the VEDA, the desired plate details based on color information are highlighted. Then, the candidate region based on statistical and logical operations will be extracted. Finally, an LP is detected. The third contribution is that we compare the VEDA to the Sobel operator in terms of accuracy, algorithm complexity, and processing time. The results show accurate edge detection performance and faster processing than Sobel by five to nine times. In terms of complexity, a big-O-notation module is used and the following result is obtained: The VEDA has less complexity by K2 times, whereas K2 represents the mask size of Sobel. Results show that the computation time of the CLPD method is 47.7 ms, which meets the real-time requirements. |
| first_indexed | 2024-03-06T08:11:58Z |
| format | Article |
| id | upm.eprints-28590 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:11:58Z |
| publishDate | 2013 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-285902016-07-14T02:49:34Z http://psasir.upm.edu.my/id/eprint/28590/ Vertical-edge-based car-license-plate detection method Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ramli, Abdul Rahman Ismail, Alyani This paper proposes a fast method for car-license-plate detection (CLPD) and presents three main contributions. The first contribution is that we propose a fast vertical edge detection algorithm (VEDA) based on the contrast between the grayscale values, which enhances the speed of the CLPD method. After binarizing the input image using adaptive thresholding (AT), an unwanted-line elimination algorithm (ULEA) is proposed to enhance the image, and then, the VEDA is applied. The second contribution is that our proposed CLPD method processes very-low-resolution images taken by a web camera. After the vertical edges have been detected by the VEDA, the desired plate details based on color information are highlighted. Then, the candidate region based on statistical and logical operations will be extracted. Finally, an LP is detected. The third contribution is that we compare the VEDA to the Sobel operator in terms of accuracy, algorithm complexity, and processing time. The results show accurate edge detection performance and faster processing than Sobel by five to nine times. In terms of complexity, a big-O-notation module is used and the following result is obtained: The VEDA has less complexity by K2 times, whereas K2 represents the mask size of Sobel. Results show that the computation time of the CLPD method is 47.7 ms, which meets the real-time requirements. IEEE 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28590/1/28590.pdf Al-Ghaili, Abbas Mohammed Ali and Mashohor, Syamsiah and Ramli, Abdul Rahman and Ismail, Alyani (2013) Vertical-edge-based car-license-plate detection method. IEEE Transactions on Vehicular Technology, 62 (1). pp. 26-38. ISSN 0018-9545 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6320710 10.1109/TVT.2012.2222454 |
| spellingShingle | Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ramli, Abdul Rahman Ismail, Alyani Vertical-edge-based car-license-plate detection method |
| title | Vertical-edge-based car-license-plate detection method |
| title_full | Vertical-edge-based car-license-plate detection method |
| title_fullStr | Vertical-edge-based car-license-plate detection method |
| title_full_unstemmed | Vertical-edge-based car-license-plate detection method |
| title_short | Vertical-edge-based car-license-plate detection method |
| title_sort | vertical edge based car license plate detection method |
| url | http://psasir.upm.edu.my/id/eprint/28590/1/28590.pdf |
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