Robust Chinese Character Recognition by Selection of Binary-Based and Grayscale-Based Classifier

Author:

Hotta Yoshinobu,Sun Jun,Katsuyama Yutaka,Naoi Satoshi

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Omachi, S., Sun, F., Aso, H.: A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition. IEEE Trans. PAMI 22(3), 314–319 (2000)

2. Shiku, O., Nakamura, A., Miyahara, S., Ohyama, T.: Blurred Character Recognition by Complementing Features of Blurred Regions. IEICE D-II J87-D-II(3), 808–817 (2004) (in Japanese)

3. Ishida, H., Yanadume, S., Takahashi, T., Ide, I., Mekada, Y., Murase, H.: Recognition of Low-Resolution Characters by a Generative Learning Method. In: Proc. of the 1st Int’l Workshop on Camera-Based Document Analysis and Recognition (CBDAR 2005), pp. 45–51 (2005)

4. Sun, J., Hotta, Y., Katsuyama, Y., Naoi, S.: Low Resolution Character Recognition by Dual Eigenspace and Synthetic Degraded Patterns. In: Proc. of the 1st ACM Workshop on Hardcopy Document Processing, pp. 15–22 (2004)

5. Sawaki, M., Murase, H., Hagita, N.: Character Recognition in Bookshelf Images by Automatic Template Selection. In: Proc. of ICPR 1998, vol. 2, pp. 1117–1120 (1998)

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