The partition–combination method for recognition of handwritten characters

Author:

Li Z.-C.,Suen C.Y.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference19 articles.

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2. Côté, M., Lecolinet, E., Cheriet, M., Suen, C.Y., 1998. Automatic reading of cursive scripts using a reading model and perceptual concepts. Inaugural Issue of the New International Journal of Document Analysis and Recognition 1, 3–17

3. A structural/statistical feature-based vector for handwritten character recognition;Heutte;Pattern Recognition Letter,1998

4. Impedovo, S., Dimauro, G., 1997. An interactive system for the selection of handwritten numeral classes. In: Proceedings of the Tenth International Conference on Pattern Recognition, Atlantic City, NJ, June 1990, pp. 563–566. See also Special Issue IJPRAI 11(5)

5. Clues to letters recognition implications for the design of characters;Koles;Journal of Typographical Research,1968

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2. Review of Feature Extraction Techniques for Character Recognition;IETE Journal of Research;2017-07-25

3. Part-based methods for handwritten digit recognition;Frontiers of Computer Science;2013-06-06

4. Alphanumeric Character Recognition Based on BP Neural Network Classification and Combined Features;International Journal of Computational Intelligence Systems;2013

5. A Multi-objective Memetic Algorithm for Intelligent Feature Extraction;Lecture Notes in Computer Science;2005

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