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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xianyong Fang Fuli Wu Bin Luo Haifeng Zhao Peng Wang |
| Copyright Year | 2006 |
| Description | Author affiliation: Minist. of Educ., Anhui Univ., Hefei (Xianyong Fang) |
| Abstract | Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images. |
| Sponsorship | VRSJ (Japan) |
| Starting Page | 79 |
| Ending Page | 82 |
| File Size | 178922 |
| Page Count | 4 |
| File Format | |
| ISBN | 076952754X |
| DOI | 10.1109/ICAT.2006.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image recognition Image edge detection Low pass filters Educational technology Signal processing Educational institutions Robustness Decoding Equations Bars |
| Content Type | Text |
| Resource Type | Article |
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