A new vertical edge detection algorithm and its application
Edge detection is a very important process for many image processing applications, especially in Car License Plate Detection and Recognition Systems(CLPDRS). The need to distinguish the desired details is a very important pre-process in order to give good results in short time processing. We propose...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48091/ http://psasir.upm.edu.my/id/eprint/48091/1/A%20new%20vertical%20edge%20detection%20algorithm%20and%20its%20application.pdf |
| _version_ | 1848850986294050816 |
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| author | Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ismail, Alyani Ramli, Abdul Rahman |
| author_facet | Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ismail, Alyani Ramli, Abdul Rahman |
| author_sort | Al-Ghaili, Abbas Mohammed Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Edge detection is a very important process for many image processing applications, especially in Car License Plate Detection and Recognition Systems(CLPDRS). The need to distinguish the desired details is a very important pre-process in order to give good results in short time processing. We proposed a new and fast vertical edge detection algorithm (VEDA) which is based on the contrast between the gray scale values. Once, input gray image was binarized by using adaptive threshold, unwanted lines elimination algorithm (ULEA) was proposed and applied. After that, a VEDA was applied for experimental images. Then, implementation on the application is performed and discussed in order to confirm that VEDA is robust for highlighting license plate details easily. The results revealed accurate edge detection performance and demonstrated the great efficiency of using VEDA in order to highlight license plate details. Finally, VEDA showed that it is faster than Sobel operator by about 7-9 times. |
| first_indexed | 2025-11-15T10:15:00Z |
| format | Conference or Workshop Item |
| id | upm-48091 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:15:00Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-480912016-08-03T07:54:22Z http://psasir.upm.edu.my/id/eprint/48091/ A new vertical edge detection algorithm and its application Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ismail, Alyani Ramli, Abdul Rahman Edge detection is a very important process for many image processing applications, especially in Car License Plate Detection and Recognition Systems(CLPDRS). The need to distinguish the desired details is a very important pre-process in order to give good results in short time processing. We proposed a new and fast vertical edge detection algorithm (VEDA) which is based on the contrast between the gray scale values. Once, input gray image was binarized by using adaptive threshold, unwanted lines elimination algorithm (ULEA) was proposed and applied. After that, a VEDA was applied for experimental images. Then, implementation on the application is performed and discussed in order to confirm that VEDA is robust for highlighting license plate details easily. The results revealed accurate edge detection performance and demonstrated the great efficiency of using VEDA in order to highlight license plate details. Finally, VEDA showed that it is faster than Sobel operator by about 7-9 times. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48091/1/A%20new%20vertical%20edge%20detection%20algorithm%20and%20its%20application.pdf Al-Ghaili, Abbas Mohammed Ali and Mashohor, Syamsiah and Ismail, Alyani and Ramli, Abdul Rahman (2008) A new vertical edge detection algorithm and its application. In: 2008 International Conference on Computer Engineering and Systems (ICCES 2008), 25-27 Nov. 2008, Cairo, Egypt. (pp. 204-209). 10.1109/ICCES.2008.4772997 |
| spellingShingle | Al-Ghaili, Abbas Mohammed Ali Mashohor, Syamsiah Ismail, Alyani Ramli, Abdul Rahman A new vertical edge detection algorithm and its application |
| title | A new vertical edge detection algorithm and its application |
| title_full | A new vertical edge detection algorithm and its application |
| title_fullStr | A new vertical edge detection algorithm and its application |
| title_full_unstemmed | A new vertical edge detection algorithm and its application |
| title_short | A new vertical edge detection algorithm and its application |
| title_sort | new vertical edge detection algorithm and its application |
| url | http://psasir.upm.edu.my/id/eprint/48091/ http://psasir.upm.edu.my/id/eprint/48091/ http://psasir.upm.edu.my/id/eprint/48091/1/A%20new%20vertical%20edge%20detection%20algorithm%20and%20its%20application.pdf |