Subspace Construction from Artificially Generated Images for Traffic Sign Recognition

Author:

Ishida Hiroyuki,Ide Ichiro,Murase Hiroshi

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Murase, H.: Generative learning for image recognition. Trans. IPS Japan 46(SIG15, CVIM-12), 35–42 (2005) (in Japanese)

2. Ishii, K.: Generation of distorted characters and its applications. Systems and Computers in Japan 14(6), 19–27 (1983)

3. Horiuchi, T., Toraichi, K., Yamamoto, L., Yamada, H.: On method of training dictionaries for handwritten character recognition using relaxation matching. In: Proc. 2nd Int. Conf. on Document Analysis and Recognition, Tsukuba, Japan, pp. 638–641 (October 1993)

4. Doermann, D., Liang, J., Li, H.: Progress in camera-based document image analysis. In: Proc. 5th Int. Conf. on Document Analysis and Recognition, Edinburgh, Scotland, UK, pp. 606–616 (August 2003)

5. Andrew, H., Hunt, B.: Digital image restoration. Prentice-Hall, Englewood Cliffs (1977)

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