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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guoliang Lu Changhou Lu Huaibo Song |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Mech. Eng., Shandong Univ., Jinan (Guoliang Lu; Changhou Lu; Huaibo Song) |
| Abstract | In the process of the recognition of metal label characters, the characters often have broken gaps, which bring troubles to the next process. In this paper, a novel method is developed which is based on the characters structural features and the previous statistic information, and this method bridges the gap effectively. As the experiments show, using this method the reconstructed characterpsilas skeleton is smooth and structure is complete, which meets the needs of the next feature extraction. |
| Starting Page | 744 |
| Ending Page | 747 |
| File Size | 306767 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769531519 |
| DOI | 10.1109/ISIP.2008.70 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-23 |
| Publisher Place | Russia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Broken Metal Label Characters Mending Broken Characters Character recognition Statistics Mechanical engineering Image reconstruction Bridges Information processing Structural Features Feature extraction Skeleton Metals industry Pixel |
| Content Type | Text |
| Resource Type | Article |
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