基于二次神经网络的笔画自动提取

M. Alder, Y. Attikiouzel
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引用次数: 2

摘要

作者对句法模式识别理论的一些观点和d.a Marr(1970)的一些见解进行了初步探讨。研究了二次神经网络在笔画自动提取中的应用。研究了手写体光学字符识别的具体问题。人类对草书的OCR需要在笔画和可能的其他结构中进行向上和向下的书写,这是非常合理的,正如对人类和机器OCR之间差异的研究所表明的那样。这是由中枢神经系统中的神经元阵列完成的,这是无可争辩的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic extraction of strokes by quadratic neural nets
The authors present a preliminary exploration of some ideas from syntactic pattern recognition theory and some insights of D.A. Marr (1970). The use of quadratic neural nets for the automatic extraction of strokes is examined. The concrete problem of optical character recognition (OCR) of handwritten characters is considered. That human OCR of cursive script entails both upwriting and downwriting into strokes and presumably other structures is eminently plausible, as an examination of the differences between human and machine OCR makes clear. That this is accomplished by arrays of neurons in the central nervous system is indisputable.<>
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