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Polymorphic Circuit Design for Speedy Handwritten Character Recognition Using Cartesian Genetic Programming

机译:基于笛卡尔遗传程序的快速手写字符识别多态电路设计

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In this paper we have used CGP (Cartesian Genetic Programming) to obtain an optimum polymorphic circuit for speedy recognition of hand written characters. Images are converted to binary form and arranged in one-dimension array. This data is fed, in parallel, to the system. Experiments have demonstrated that promising results can be obtained using a much simpler circuit having 1-bit multiplexers. All the experiments are conducted without any pre-processing and image is being fed in parallel to the system, thus reducing complexity of the circuit and time for recognition enormously.
机译:在本文中,我们已使用CGP(笛卡尔遗传编程)来获得最佳的多态电路,以快速识别手写字符。图像被转换为​​二进制形式并以一维数组的形式排列。该数据被并行地馈送到系统。实验表明,使用具有1位多路复用器的简单得多的电路可以得到有希望的结果。所有实验均在不进行任何预处理的情况下进行,并且图像与系统并行输入,因此极大地降低了电路复杂度和识别时间。

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