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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tabbone, S. Wendling, L. |
| Copyright Year | 2002 |
| Description | Author affiliation: LORIA, Nancy II Univ., Vandoeuvre-les-Nancy, France (Tabbone, S.; Wendling, L.) |
| Abstract | We introduce a new method to generate feature vectors to be used in symbol recognition. We propose a new exploitation of the Radon transform to generate relevant-features. The Radon transform is essentially a transformation of an image into a transform plane (/spl rho/,/spl theta/) represented by an accumulator in the discrete case. From the accumulator array we extract a signature (R-signature) which provides global information of a binary shape whatever its type and its form. The signature allows to keep fundamental geometrical transformation like scale, translation and rotation. |
| Starting Page | 200 |
| Ending Page | 203 |
| File Size | 207641 |
| Page Count | 4 |
| File Format | |
| ISBN | 076951695X |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2002.1047829 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-08-11 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Noise robustness Testing Discrete transforms Equations Root mean square |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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