A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes
Traffic Road-Signs contain useful information for the road users; the operation of many of modern applications like the automatic or smart vehicle requires an automatic discrimination of the texts of the traffic road-sign. Discrimination of text compose of several stages, the first of these stages i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2016-02-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_112643_613dd7ca8bd7f3546c763b5b97b988cd.pdf |
| _version_ | 1797325932279627776 |
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| author | Abdul Munem S. Rahma Teaba Wala Aldeen Khairi |
| author_facet | Abdul Munem S. Rahma Teaba Wala Aldeen Khairi |
| author_sort | Abdul Munem S. Rahma |
| collection | DOAJ |
| description | Traffic Road-Signs contain useful information for the road users; the operation of many of modern applications like the automatic or smart vehicle requires an automatic discrimination of the texts of the traffic road-sign. Discrimination of text compose of several stages, the first of these stages is detection and extraction of the texts. In this work, an algorithm is developed to detect, locate, and segment of the texts and the word in the video clips, that existing in the road signs in the city of Baghdad. The proposed approach includes two stages, the first one is processing the image to locate and extract images of the road-sign and neglect the rest of the image, and the second stage is processing the image of the road-sign plate to detect and extract the texts without symbols and shapes. The basic structure of the algorithm depends on the following functions: edge-detector, dilation, and filling-hole, morphological-opening. The total recall values of 89%, the total precision value of 93%.The algorithm is, then, tested based on video clips, implementation of the algorithm based on video clips confirms its ability to detect the texts which may appear in the video scenes, recall-rate(r) is excellent with a total value of 94.5% and a total precision value of 86.5%.The algorithm is tested to measure its validity to work under real-time operation, by processing one frame and exceed a set of next frames, the test appears that the algorithm is able to work under real-time operation with recall-rate(r) of(93%). |
| first_indexed | 2024-03-08T06:16:23Z |
| format | Article |
| id | doaj.art-5861bbd0765a4d53890a0f37d0f6ecd2 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:16:23Z |
| publishDate | 2016-02-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-5861bbd0765a4d53890a0f37d0f6ecd22024-02-04T17:27:23ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-02-01342B18019310.30684/etj.34.2B.1112643A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video ScenesAbdul Munem S. RahmaTeaba Wala Aldeen KhairiTraffic Road-Signs contain useful information for the road users; the operation of many of modern applications like the automatic or smart vehicle requires an automatic discrimination of the texts of the traffic road-sign. Discrimination of text compose of several stages, the first of these stages is detection and extraction of the texts. In this work, an algorithm is developed to detect, locate, and segment of the texts and the word in the video clips, that existing in the road signs in the city of Baghdad. The proposed approach includes two stages, the first one is processing the image to locate and extract images of the road-sign and neglect the rest of the image, and the second stage is processing the image of the road-sign plate to detect and extract the texts without symbols and shapes. The basic structure of the algorithm depends on the following functions: edge-detector, dilation, and filling-hole, morphological-opening. The total recall values of 89%, the total precision value of 93%.The algorithm is, then, tested based on video clips, implementation of the algorithm based on video clips confirms its ability to detect the texts which may appear in the video scenes, recall-rate(r) is excellent with a total value of 94.5% and a total precision value of 86.5%.The algorithm is tested to measure its validity to work under real-time operation, by processing one frame and exceed a set of next frames, the test appears that the algorithm is able to work under real-time operation with recall-rate(r) of(93%).https://etj.uotechnology.edu.iq/article_112643_613dd7ca8bd7f3546c763b5b97b988cd.pdftextdetectionroadsign platematlabalgorithmedge |
| spellingShingle | Abdul Munem S. Rahma Teaba Wala Aldeen Khairi A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes Engineering and Technology Journal text detection road sign plate matlab algorithm edge |
| title | A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes |
| title_full | A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes |
| title_fullStr | A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes |
| title_full_unstemmed | A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes |
| title_short | A Novel Algorithm To Detect and Extract The Texts of Road- Sign Plates in Video Scenes |
| title_sort | novel algorithm to detect and extract the texts of road sign plates in video scenes |
| topic | text detection road sign plate matlab algorithm edge |
| url | https://etj.uotechnology.edu.iq/article_112643_613dd7ca8bd7f3546c763b5b97b988cd.pdf |
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