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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊網路與多媒體研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40174
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳銘憲(Ming-Syan Chen)
dc.contributor.authorYa-Lan Panen
dc.contributor.author潘雅嵐zh_TW
dc.date.accessioned2021-06-14T16:42:10Z-
dc.date.available2008-08-04
dc.date.copyright2008-08-04
dc.date.issued2008
dc.date.submitted2008-07-31
dc.identifier.citation[1] Iso/iec 18004:2000. information technology-automatic identification and data capture techniques-bar code symbology-qr code. 2000.
[2] ISO/IEC 18004:2000. Information technology-automatic identification and data capture techniques-bar code symbology-qr code. 2000.
[3] Taiwan Agriculture and Food Traceability System.
http://taft.coa.gov.tw/welcome.swf.
[4] Thaddeus Beier and Shawn Neely. Feature-based image metamorphosis. pages 35–42. Proc. of SIGGRAPH 92, 1992.
[5] Hermann Birkholz and Dietmar Jackel. Image warping with feature curves. Proc. of SIGGRAPH 2003, 2003.
[6] Chung-Hua Chu, De-Nian Yang, and Ming-Syan Chen. Image stabilization for 2d bar-codes on camera phones. Proceedings of ACM International Conference on Multimedia,
2007.
[7] CBC Corporated. http://www.cbc-mirunet.com/.
[8] CHUBU electric power. http://www.chuden.co.jp/.
[9] SC Hsia, MH Chen, and TM Chen. A cose-effective line-based light-balancing technique using adaptive processing. In Proceedings of IEEE Transactions on Image Processing, 2006.
[10] L.M. Soh J.Matas and J. Kittler. Object recognition using a tag. In International Con-
ference on Image Processing(ICIP’97)3-Volume Set-Volume 1, pages 877–880. IEEE Computer Society Press, 1997.
[11] H. Kato and K.-T. Tan. 2d barcodes for mobile phones. IEEE International Conference on Mobile Technology, Applications and Systems, 2005.
[12] Peizhuo Lv, Shengli Lai, Leian Liu, Yongming Zhuo, and Kai Liu. Research and implementation of automatic recognition of two dimensional barcode mobile comput-
ing. IEEE International Conference on Mobile Technology, Applications and Systems, 2005.
[13] Eisaku Ohbuchi, Hiroshi Hanaizumi, and Lim Ah Hock. Barcode readers using the camera device in mobile phones. IEEE International Conference on Cyberworlds (CW04), 2004.
[14] Eisaku Ohbuchi, Hiroshi Hanaizumi, and Lim Ah Hock. Barcode readers using the camera device in mobile phones. In Proceedings of the International Conference on
Cyberworlds., 2004.
[15] E. Ottaviani, A. Pavan, M. Bottaz, E. Brunclli, F. Casclli, andM. Guerrero. A common image processing framework for 2d barcode reading. IEEE International Conference on Image Processing and Its Applications, 1999.
[16] T. S. Parikh and E. D. Lazowska. Designing an architecture for delivering mobile information services to the rural developing world. In IEEE Workshop on Mobile
Computing Systems and Applications, 2006.
[17] J. Rekimoto and M. Satoh. A spatially continuous work space for hybrid computing environments. In Preceedings of the SIGCHI conference on Human factors in computing
systems, 2006.
[18] Jun Rekimoto and Yuji Ayatsuka. Cybercode: Designing augmented reality environments with visual tags. Proceedings of ACM International Conference on Designing
Augmented Reality Environments, 2000.
[19] Cmode Service. http://www.cmode.jp/.
[20] Aidong Sun and Yan Sun. The qr-code reorganization in illegible snapshots taken by mobile phones. In Fifth International Conference on Computational Science and
Applications., pages 532–536, 2007.
[21] SUNwISH. http://www.qrclip.net/.
[22] R. Y. Tsai. A versatile camera calibration technique for high- accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. In IEEE Joutnal of Robotics and Automation, pages 323–344, 1987.
[23] G. Yu, Z. Wang, Y. Li, and L. He. An application and implementation of two dimensional symbols for circuit board quality control system. In 2nd IEEE international
Conference of Industrial Informatics, 2004.
[24] Chang Yu-Hsuan, Chu Chung-Hua, and Chen Ming-Syan. A general scheme for extracting qr code from a non-uniform background in camera phones and applications.
In Multimedia, 2007. ISM 2007. Ninth IEEE International Symposium on, pages 123–130, 2007.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40174-
dc.description.abstract隨著行動電話的普及,二維條碼在手機上的應用在最近幾年已經引起很大關注。之前相關的研究都是假設條碼是印在平坦的表面上,然而,這樣是不夠的,我們發現,如果條碼是印在非平坦表面,例如瓶罐上,則上述的假設會使得辨認出條碼的正確率驟減,因此,我們提出了一個有效率且正確的演算法,從扭曲過的二維條碼照片上擷取並把扭曲的二維條碼繳正回來。另外,我們也提出cell-to-cell的概念來提高辨識條碼的效率。和之前相關的演算法比較,我們的方法在條碼的辨識上有比較高的正確率及效率。zh_TW
dc.description.abstractWith the ubiquity of cellular phones, mobile applications with 2D barcodes have drawn a lot of attentions in recent years. All previous works assume that barcodes are printed on flat surfaces. However, we find out that the above assumption does not hold and indicate that the barcodes on distorted surfaces tend to deteriorate the accuracy of recognition. Therefore, we propose an effcient and effective algorithm to rectify and extract 2D barcode
in a distorted image. Compared with previous approaches, our algorithm is of high quality with higher accuracy of the barcode recognition.
en
dc.description.provenanceMade available in DSpace on 2021-06-14T16:42:10Z (GMT). No. of bitstreams: 1
ntu-97-R95944033-1.pdf: 3892379 bytes, checksum: a7a80bc212c57cb7978bf69704319bbc (MD5)
Previous issue date: 2008
en
dc.description.tableofcontents1 Introduction 1
2 QR code Overview 3
2.1 Two Dimensional Barcode . . . . . . . . . . . . . 3
2.1.1 QR-code Advantages . .. . . . . . . . . . . . . 5
2.1.2 QR code Structure . . . . . . . . . . . . . . . 7
2.1.3 Applications . . . . . . . .. . . . . . . . . . 9
3 Related Works 10
4 Heuristic Algorithm 12
4.1 Binary Process . . . . . . . . . . . . . . . . . .12
4.1.1 Changing Color Space . . . . .. . . . . . . . . 12
4.1.2 Binarization . . . . . . . . . . . . . . . . . 12
4.2 QR code Detection . . . . . . . . . . . . . . . . 15
4.2.1 Finding Three Finder Patterns and Corners . . . 15
4.2.2 Calculate Module . . . . .. . . . . . . . . . . 18
4.3 Model Curve Boundary . . . . . . . . . . . . . . 21
4.4 Cell-to-Cell Mapping . . . . . . . . . . . . . . 24
4.5 RQR on 2D Distortion Image . .. . . . . . . . . . 24
5 Experimental Results 30
5.1 Effective Analysis . .. . . . . . . . . . . . . . 30
5.1.1 3D Distorted Images . . . . . . . . . . . . . . 31
5.1.2 2D Distorted Images . . . . . . . . . . . . . . 32
5.1.3 Distorted Limitation . . . . . . . . . . . . . 33
5.2 Efficiency Analysis . . . . . . . . . . . . . . . 33
6 Conclusion and Future Works 35
Bibliography. . . . . . . . . . . . . . . . . . . . .36
dc.language.isoen
dc.subject不均勻背景zh_TW
dc.subjectQR codezh_TW
dc.subject影像處理zh_TW
dc.subject圖形辨識zh_TW
dc.subject行動電話zh_TW
dc.subjectmobile phoneen
dc.subjectnon-uniform backgrounden
dc.subjectQR codeen
dc.subjectimage processingen
dc.subjectimage recognitionen
dc.title在不均勻背景之影像中擷取2D Barcodeszh_TW
dc.titleExtracting 2D Barcodes from Images with Spatial Distortionen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳孟彰(Meng-Jhang Chen),呂永和(Yung-He Liu),楊得年(De-Nian Yang)
dc.subject.keywordQR code,影像處理,圖形辨識,行動電話,不均勻背景,zh_TW
dc.subject.keywordQR code,image processing,image recognition,mobile phone,non-uniform background,en
dc.relation.page38
dc.rights.note有償授權
dc.date.accepted2008-08-01
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊網路與多媒體研究所zh_TW
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