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

A. Rehman, G. M. Khan
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引用次数: 1

Abstract

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.
基于笛卡尔遗传规划的快速手写字符识别多态电路设计
本文利用笛卡尔遗传规划(CGP)得到了一种快速识别手写字符的最佳多态电路。图像被转换成二进制形式并排列成一维数组。这些数据被并行地馈送到系统。实验表明,使用更简单的1位多路复用器电路可以获得令人满意的结果。所有的实验都是在没有任何预处理的情况下进行的,图像是并行输入到系统中,从而大大降低了电路的复杂性和识别时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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