Recognition of on-line handwritten digits by neural networks using circular and beta approaches
暂无分享,去创建一个
[1] Hans-Jürgen Warnecke,et al. Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola , 2001, Pattern Recognit..
[2] Masaki Nakagawa,et al. Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition , 2001, Pattern Recognit..
[3] Pietro G. Morasso,et al. Recognition experiments of cursive dynamic handwriting with self-organizing networks , 1993, Pattern Recognit..
[4] T. J. Watson. ON-LINE HANDWRITTEN CHARACTER RECOGNITION USING PARALLEL NEURAL NETWORKS , 1994 .
[5] Eric Lecolinet,et al. Cursive handwriting recognition using the Hough transform and a neural network , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[6] A. M. Alimi,et al. A neuro-fuzzy approach to recognize Arabic handwritten characters , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[7] Réjean Plamondon,et al. The Delta LogNormal theory for the generation and modeling of cursive characters , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.
[8] Réjean Plamondon,et al. A kinematic theory of rapid human movements , 1995, Biological Cybernetics.
[9] Adel M. Alimi,et al. Evolutionary Computation for the Recognition of On-Line Cursive Handwriting , 2002 .
[10] Réjean Plamondon,et al. A kinematic theory of rapid human movements , 1995, Biological Cybernetics.