A Fast Algorithm Detection for Barcode Inclination Defect
Barcode detection has many applications and detection methods. Most applications have their own requirements for detection accuracy and speed. This paper has its requirement for speed in the real time system to detection inclination defect of barcode. It predominantly researches on two algorithms an...
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| Vydáno v: | Applied Mechanics and Materials Ročník 644-650; s. 1172 - 1175 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Trans Tech Publications Ltd
01.09.2014
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| ISBN: | 9783038352464, 3038352462 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
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| Abstract | Barcode detection has many applications and detection methods. Most applications have their own requirements for detection accuracy and speed. This paper has its requirement for speed in the real time system to detection inclination defect of barcode. It predominantly researches on two algorithms and their applications on 1-dimentional barcode scanning. One is location and the other is angle of inclination. The algorithms are particularly useful for real time detection of barcodes in online system with image vision devices. |
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| AbstractList | Barcode detection has many applications and detection methods. Most applications have their own requirements for detection accuracy and speed. This paper has its requirement for speed in the real time system to detection inclination defect of barcode. It predominantly researches on two algorithms and their applications on 1-dimentional barcode scanning. One is location and the other is angle of inclination. The algorithms are particularly useful for real time detection of barcodes in online system with image vision devices. |
| Author | Lu, Li Kun Qi, Ya Li Li, Ye Li Wang, Cui |
| Author_xml | – givenname: Ye Li surname: Li fullname: Li, Ye Li email: YeliLi1@163.com organization: Beijing Institute of Graphic Communication : Computer Science and Technology Department – givenname: Cui surname: Wang fullname: Wang, Cui email: CuiWang1@163.com organization: Beijing Institute of Graphic Communication : Computer Science and Technology Department – givenname: Ya Li surname: Qi fullname: Qi, Ya Li email: a.qyl@bigc.edu.cn organization: Beijing Institute of Graphic Communication : Computer Science and Technology Department – givenname: Li Kun surname: Lu fullname: Lu, Li Kun email: LikunLu1@163.com organization: Beijing Institute of Graphic Communication : Computer Science and Technology Department |
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| Cites_doi | 10.1364/oe.15.014817 10.1109/icassp.2007.366013 10.2316/P.2012.778-014 |
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| Copyright | 2014 Trans Tech Publications Ltd Copyright Trans Tech Publications Ltd. Sep 2014 |
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| Keywords | On-Line Detection Angle of Inclination Barcode Detection Continuous Inkjet |
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| Snippet | Barcode detection has many applications and detection methods. Most applications have their own requirements for detection accuracy and speed. This paper has... |
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| Title | A Fast Algorithm Detection for Barcode Inclination Defect |
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