Farsi handwritten digit recognition based on mixture of RBF experts-Reference-Cited by-同舟云学术

Farsi handwritten digit recognition based on mixture of RBF experts

Published:2010 Issue:14 Volume:7 Page:1014-1019
ISSN:1349-2543
Container-title:IEICE Electronics Express
language:en
Short-container-title:IEICE Electron. Express

Author:

Ebrahimpour Reza¹²,Esmkhani Alireza²,Faridi Soheil²³

Affiliation:

1. School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM)

2. Brain and Intelligent Systems Research Lab, Department of Electrical Engineering, Shahid Rajaee Teacher Training University

3. Islamic Azad University, South Tehran Branch

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

http://www.jstage.jst.go.jp/article/elex/7/14/7_14_1014/_pdf

Reference4 articles.

1. [1] I. D. Trier and A. K. Jain, “Feature extraction Methods for Character Recognition- A Survey,” Pattern Recognition, vol. 29, no. 4, pp. 641-662, 1996.

2. [2] L. I. Kuncheva, M. Skurichina, and R. P. W. Duin, “An experimental Study on diversity for bagging and boosting with linear classifiers,” Information Fusion, vol. 3, pp. 245-258, 2002.

3. [3] R. Ebrahimpour, E. Kabir, H. Esteky, and M. R. Yousefi, “View-independent face recognition with mixture of experts,” Neurocomputing, vol. 71, no. 4-6, pp. 1103-1107, 2008.

4. Introducing a very large dataset of handwritten Farsi digits and a study on their varieties

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