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|Title:||Real scene sign recognition|
|Authors:||Li, L. |
Real Scene Recognition
|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)|
|Appears in Collections:||Staff Publications|
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