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https://doi.org/10.1007/978-3-642-13728-0_16
| Title: | Real scene sign recognition | Authors: | Li, L. Tan, C.L. |
Keywords: | Graphics Recognition Perspective Deformation Real Scene Recognition |
Issue Date: | 2010 | Citation: | Li, L.,Tan, C.L. (2010). Real scene sign recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6020 LNCS : 175-186. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-13728-0_16 | Abstract: | A common problem encountered in recognizing signs in real-scene images is the perspective deformation. In this paper, we employ a descriptor named Cross Ratio Spectrum for recognizing real scene signs. Particularly, this method will be applied in two different ways: recognizing a multi-component sign as an whole entity or recognizing individual components separately. For the second strategy, a graph matching is used to finally decide the identify of the query sign. © 2010 Springer-Verlag. | Source Title: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | URI: | http://scholarbank.nus.edu.sg/handle/10635/41719 | ISBN: | 364213727X | ISSN: | 03029743 | DOI: | 10.1007/978-3-642-13728-0_16 |
| Appears in Collections: | Staff Publications |
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