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http://dx.doi.org/10.6109/jkiice.2012.16.6.1187

QR-code finder recognition using four directional scanning method  

Lee, Yeon-Kyung (상명대학교 디지털미디어학부)
Yoo, Hoon (상명대학교 디지털미디어학부)
Abstract
This paper describes a method to detect QR-code finders by four-direction scanning. The finder recognition is the first step in the QR-code recognition. If the finder is missing, QR-code recognition fails. The existing QR-code recognition method has a problem that the recognition performance decreases for perspectively distored images. To overcome the problem, we introduce four-direction scanning and a candidate set image to accurately detect QR-code finders. Using morphological operations detect the QR-code finder in the candidate set image robustly. To show the effectiveness of our method, we compared our method with the well-known existing method. The experimental result indicates that the proposed method is superior to the existing method in terms of the finder recognition performance.
Keywords
QR code; Directional scanning; QR-code finder recognition;
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  • Reference
1 ISO/IEC 18004:2000. Information technology - Automatic identification and data capture techniques - Bar code symbology - QR Code, 2000.
2 ISO/IEC 15420:2000. Information technology - Automatic identification and data capture techniques - Bar code symbology specification - EAN/UPC, 2000.
3 Y. Ebrahim, W. Abdelsalam, M. Ahmed, and S.-C. Chau, "Proposing a hybrid tag-camera-based identification and navigation aid for the visually impaired," in Second IEEE Consumer Communications and Networking Conference (CCNC), pp. 172-177, 2005.
4 H. S. Al-khalifa, "Utilizing QR code and mobile phones for blinds and visually impaired people," in Proceedings of the 11th International Conference on Computers Helping People with Special Needs, Springer, LNCS 5105, pp. 1065-1069, 2008.
5 E. Ohbuchi, H. Hanaizumi, and L. A. Hock, "Barcode readers using the camera device in mobile phones," in Proceedings of the 2004 International Conference on Cyberworlds, IEEE Computer Society, pp. 260-265, 2004.
6 L. Belussi and N. Hirata, "Fast QR code detection in arbitrarily acquired images", IEEE SIBGRAPI, pp. 281-288, 2011.
7 Y. Gu and W. Zhang, "QR Code Recognition Based On Image Processing," International Conference on Information Science and Technology 2011, pp 733-736, March. 2011.
8 H. A-Lin, F. Yuan and G. Ying "QR code image detection using run-length coding", International Conference on Computer Science and Network Technology 2011, pp 2130-2134, Dec. 2011.
9 http://code.google.com/p/zxing/
10 http://zbar.sourceforge.net/