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A RMB optical character recognition system using FPGA

机译:使用FPGA的人民币光学字符识别系统

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摘要

Optical Character Recognition (OCR) is an important area of pattern recognition. Automatic OCR system is one kind of intelligent system which is very important to the current automation systems such as ATMs. In this paper, a RMB OCR (ROCR) system is implemented using FPGA, which consists of Character Segmentation (CS) module and OCR module. The CME M7 was used for the implementation. 83.30% Logic Elements (LEs) of a M7 FPGA was used for the system implementation. The whole system runs with a maximum frequency of 100MHz and is capable of processing one image per 6ms with the successful recognition rate at 98.45%.
机译:光学字符识别(OCR)是模式识别的重要领域。自动OCR系统是一种智能系统,对于当前的自动化系统(例如ATM)非常重要。本文采用FPGA实现RMB OCR(ROCR)系统,该系统由字符分割(CS)模块和OCR模块组成。 CME M7用于实施。 M7 FPGA的83.30%逻辑元件(LE)用于系统实现。整个系统的最高频率为100MHz,能够每6ms处理一张图像,成功识别率为98.45%。

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