| Presentation | 2010-09-05 QR-code recognition based on super-resolution using binary pattern constraint Yuji KATO, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Ichiro IDE, Hiroshi MURASE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Since a QR-code includes lots of information in a small area, it is widely applied to systems of manufactures, logistics and sales. However, recognition of a QR-code needs high resolution. In practice, recognition of a QR-code becomes difficult when the camera is far from QR-codes, so it is necessary to capture images in a short distance. In this paper, we proposed the method to enhance the performance of QR-code recognition from low resolution images. In the proposed method, we enhanced the performance with the super-resolution techniques, which generates a high-resolution image from two or more low-resolution images. To fit images for recognition and enhance the performance, the features that QR-code made by binary pattern are used. The experiment showed that the recognition rate achives 98% in the low-resolution images which conventional methods can not handle. Compared to the conventional super-resolution method, the recognition rate of the proposed method increased by 15.7% in average and 38.0% in maximum. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | super-resolution / QR-code recognition / binary image / sigmoid function |
| Paper # | PRMU2010-63,IBISML2010-35 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2010/8/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | QR-code recognition based on super-resolution using binary pattern constraint |
| Sub Title (in English) | |
| Keyword(1) | super-resolution |
| Keyword(2) | QR-code recognition |
| Keyword(3) | binary image |
| Keyword(4) | sigmoid function |
| 1st Author's Name | Yuji KATO |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Daisuke DEGUCHI |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Tomokazu TAKAHASHI |
| 3rd Author's Affiliation | Faculty of Economics and Information, Gifu Shotoku Gakuen University |
| 4th Author's Name | Ichiro IDE |
| 4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 5th Author's Name | Hiroshi MURASE |
| 5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| Date | 2010-09-05 |
| Paper # | PRMU2010-63,IBISML2010-35 |
| Volume (vol) | vol.110 |
| Number (no) | 187 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |