Real scene sign recognition

Authors:
Linlin Li;Chew Lim Tan
Affiliations:
Computer Science, National University of Singapore, Singapore;Computer Science, National University of Singapore, Singapore
Venue:
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Year:
2009

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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.