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A Recognition Method of RMB Numbers Based on Character Features

机译:基于字符特征的人民币数的识别方法

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摘要

According to the features of RMB banknote images, combining digital image processing and pattern recognition, this paper proposes a recognition method of RMB word numbers based on character features. The recognition algorithms include: image preprocessing, number region location, feature extraction and character recognition. The experimental results show that the automatic number identification system based on this method achieves high recognition rate and processing speed.
机译:根据人民币纸币图像的特征,组合数字图像处理和模式识别,本文提出了一种基于字符特征的RMB字数的识别方法。识别算法包括:图像预处理,数字区域位置,特征提取和字符识别。实验结果表明,基于该方法的自动数识别系统实现了高识别率和处理速度。

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