Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation
In this paper, a study on detectability and readability of barcodes using omnidirectional vision system for automated guided vehicle is presented. Images from omnidirectional camera are known to be distorted against the height of the object. We present an algorithm for detecting and reading barcodes...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/2375/1/AC12769.pdf http://umpir.ump.edu.my/id/eprint/2375/ |
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| _version_ | 1831521192457011200 |
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| author | Zahari, Taha Jessnor Arif, Mat Jizat Ismayuzri, Ishak |
| author_facet | Zahari, Taha Jessnor Arif, Mat Jizat Ismayuzri, Ishak |
| author_sort | Zahari, Taha |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In this paper, a study on detectability and readability of barcodes using omnidirectional vision system for automated guided vehicle is presented. Images from omnidirectional camera are known to be distorted against the height of the object. We present an algorithm for detecting and reading barcodes successfully without correcting the image distortion. Experiments were conducted both when the AGV was in motion and at rest. Three contributing factors were identified for successful barcodes detection and reading. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.2375 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2012 |
| record_format | eprints |
| spelling | my.ump.umpir.23752018-01-22T02:35:38Z http://umpir.ump.edu.my/id/eprint/2375/ Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation Zahari, Taha Jessnor Arif, Mat Jizat Ismayuzri, Ishak TS Manufactures TL Motor vehicles. Aeronautics. Astronautics In this paper, a study on detectability and readability of barcodes using omnidirectional vision system for automated guided vehicle is presented. Images from omnidirectional camera are known to be distorted against the height of the object. We present an algorithm for detecting and reading barcodes successfully without correcting the image distortion. Experiments were conducted both when the AGV was in motion and at rest. Three contributing factors were identified for successful barcodes detection and reading. 2012-03-26 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2375/1/AC12769.pdf Zahari, Taha and Jessnor Arif, Mat Jizat and Ismayuzri, Ishak (2012) Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation. In: International Conference for Automatic Control and Artificial Intelligence 2012 , 24-27 March 2012 , Xiamen, China. . (Unpublished) (Unpublished) |
| spellingShingle | TS Manufactures TL Motor vehicles. Aeronautics. Astronautics Zahari, Taha Jessnor Arif, Mat Jizat Ismayuzri, Ishak Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation |
| title | Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation |
| title_full | Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation |
| title_fullStr | Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation |
| title_full_unstemmed | Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation |
| title_short | Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation |
| title_sort | bar code detection using omnidirectional vision for automated guided vehicle navigation |
| topic | TS Manufactures TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/2375/1/AC12769.pdf http://umpir.ump.edu.my/id/eprint/2375/ |
| url_provider | http://umpir.ump.edu.my/ |