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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barber, C.B., Dobkin, D.P., Huhdanpaa, H.T.: The quickhull algorithm for convex hulls. ACM Transactions on Mathematical Software 22(4), 469–483 (1996)
Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 509–522 (2002)
de la Escalera, A., Moreno, L., Salichs, M., Armingol, J.: Road traffic sign detection and classification. IEEE Transactions on Industrial Electronics 44(6) (1997)
Lalondeand, M., Li, Y.: Road signs recognition - survey of the state of the art. Technique Report, CRIM-IIT (1995)
Lee, S.W., Kim, J.S.: Multi-lingual, multi-font, multi-size large-set character recognition using self-organizing neural network. In: Proceedings of the 3rd International Conference on Document Analysis and Recognition, vol. 1, pp. 23–33 (1995)
Li, L., Tan, C.L.: Character recognition under severe perspective distortion. In: Proceedings of the 19th International Conference on Pattern Recognition (2008)
Mundy, J.L., Zisserman, A.P.: Geometric invariance in computer vision. MIT Press, Cambridge (1992)
Rehrmann, V., Priese, L.: Fast and robust segmentation of natural color scenes. In: Chin, R., Pong, T.-C. (eds.) ACCV 1998. LNCS, vol. 1351. Springer, Heidelberg (1997)
Yamaguchi, T., Maruyama, M., Miyao, H., Nakano, Y.: Digit recognition in a natural scene with skew and slant normalization. International Journal of Document Analysis and Recognition 7(2-3), 168–177 (2005)
Zhou, P., Li, L., Tan, C.L.: Character recognition under severe perspective distortion. In: Proceedings of the 10th International Conference on Document Analysis and Recognitionn (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, L., Tan, C.L. (2010). Real Scene Sign Recognition. In: Ogier, JM., Liu, W., Lladós, J. (eds) Graphics Recognition. Achievements, Challenges, and Evolution. GREC 2009. Lecture Notes in Computer Science, vol 6020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13728-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-13728-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13727-3
Online ISBN: 978-3-642-13728-0
eBook Packages: Computer ScienceComputer Science (R0)