Barcode detection using local analysis, mathematical morphology, and clustering
Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
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Szegedi Tudományegyetem
2013
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| Sorozat: | Acta Cybernetica (Szeged)
21 No. 1 |
| doi: | 10.14232/actacyb.21.1.2013.3 |
| mtmt: | 2227070 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/8467 |
| Tartalmi kivonat: | Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we extend those ideas with clustering, contrast measuring, distance transformation and probabilistic Hough transformation. |
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| Terjedelem/Fizikai jellemzők: | 21-35 |
| ISSN: | 0324-721X |