基于RCE时空神经网络的波斯语在线手写字符识别

International Conference on Soft Computing as Transdisciplinary Science and Technology Pub Date : 2008-10-28 DOI:10.1145/1456223.1456246

Mehdi Moghadam Fard, Maryam Moghadam Fard, B. Minaei-Bidgoli, M. Hussain

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引用次数: 2

摘要

本文提出了一种新的基于神经网络的波斯语在线手写字符识别系统。该系统基于一种新开发的时空人工神经元(STAN)，能够很好地适应时空模式的识别。在该模型中，由数字化平板产生的字符笔画以与触控笔位移相对应的一系列尖峰的形式呈现。该系统的结构基于预处理、峰值提取和分类三个模块。第二个和第三个模块是基于以stan为神经元的神经结构。我们的数据库包括80个人的手迹。32个字，每个人写10遍

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Persian on-line handwritten character recognition by RCE spatio-temporal neural network

In this paper a new Persian on-line handwritten character recognition system using neural network is presented. The proposed system is based-on a newly developed Spatio-Temporal Artificial Neuron (STAN) which is well adapted for the recognition of Spatio-Temporal patterns. In this model the strokes of a character generated by a digitizing tablet is presented in form of a sequence of spikes corresponding to displacement of the stylus. The architecture of the proposed system is based on three modules preprocessing, spike extraction and classification. The second and third modules are based on neural architectures which have STANs as their neurons. Our database comprises the handwritings of 80 persons. Each person has written 10 times each of 32 characters

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International Conference on Soft Computing as Transdisciplinary Science and Technology

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