Handwritten Numeral Recognition Based on Simplified Feature Extraction, Structural Classification and Fuzzy Memberships
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-24677-0_39.pdf
Reference15 articles.
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2. Chen, G.Y., Bui, T.D., Krzyzak, A.: Contour-based Handwritten Numeral Recognition Using Multiwavelets and Neural Networks. Pattern Recognition 36, 1597–1604 (2003)
3. Datta, A., Parul, S.K.: A Robust Parallel Thinning Algorithm for Binary Images. Pattern Recognition 27, 1181–1192 (1994)
4. Hu, J., Yan, H.: Structural Primitive Extraction and Coding for Handwritten Numeral Recognition. Pattern Recognition 31, 493–509 (1998)
5. Hu, J., Yu, D., Yan, H.: Algorithm for Stroke Width Compensation of Handwritten Characters. Electronics Letters 32, 2221–2222 (1996)
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