Please use this identifier to cite or link to this item: 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
Source: 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
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