Discrimination of similar characters using nonlinear normalization based on regional importance measure

Author:

Ryu Sangjin,Kim In-Jung

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Reference19 articles.

1. Yamashita, Y., Higuchi, K., Yamada, Y., Haga, Y.: Classification of handprinted Kanji characters by the structured segment matching method. Pattern Recognit. Lett. 1(5–6), 475–479 (1983)

2. Yamada, H., Saito, T., Yamamoto, K.: Line density equalization—a nonlinear normalization for correlation method. Trans. IECE Jpn. J67-D(11), 1379–1383 (in Japanese) (1984)

3. Tsukumo, J., Tanaka, H.: Classification of handprinted Chinese characters using nonlinear normalization methods. In: Proceedings of 9th ICPR, Rome, Italy, pp. 168–171, November, 1988

4. Lee, S.-W., Park, J.-S.: Nonlinear shape normalization methods for the recognition of large-set handwritten characters. Pattern Recognit. 27(7), 895–902 (1994)

5. Liu, C.-L., Marukawa, K.: Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition. Pattern Recognit. 38(12), 2242–2255 (2005)

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