利用磁感时变信号的磁墨码行神经网络识别

Proceedings of the 1992 South African Symposium on Communications and Signal Processing Pub Date : 1992-09-11 DOI:10.1109/COMSIG.1992.274274

S. Mostert, J. J. van Rensburg, N. Goosen

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引用次数: 0

摘要

这篇论文提供了一种独特的解决方案，它的速度随着刷过头部的人而变化，而且不需要任何额外的时间信息就可以进行识别。应用和研究的技术从神经网络到基于磁感应头信号特性的各种启发式方法不等。更详细地探讨了神经网络识别的最优解。

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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Neural network recognition of magnetic ink code line using magnetically sensed time variant signal

This paper provides a solution unique in that the speed varies with the person swiping the check past the head, and the recognition is made without any additional timing information. Techniques applied and researched vary from neural networks to various heuristics based on the properties of the signal derived from the magnetic sense head. The neural network recognition is explored in more detail to find the most optimal solution.<>

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Proceedings of the 1992 South African Symposium on Communications and Signal Processing

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