本文简单介绍复旦大学“789”光学文字识别系统使用的飞点扫描器。

This paper briefly introduces the flying spot scanner of the "789" model of Optical Character Recognition system developed in Futan University.

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根据目前文字识别系统的特点，提出了一种用FPGA实现文字识别系统的方案。

After studying the characteristic of the current character recognition system, a new character recognition system based on FPGA is proposed in this paper.

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论文主要讨论如何结合结构方法和神经网络的技术，来实现哈萨克语手写文字识别系统的实现。

The main theme of this paper is the automatic recognition of hand-written kazakh characters using artificial neural networks in addition to conventional techniques.

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