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A novel fast defile detection method of bank bill

机译:一种新颖的银行票据快速污损检测方法

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摘要

The automatic sorting of bank bill has become very important to speed up the office automation. Some methods have been reported to classify the denomination and directions of bank bill. But there were no reports about defile detection. In this paper, we designed a fast and effective algorithm to detect defiles on bank bill. We make use of mathematical morphology image processing to do shift and rotation correction. In order to reduce CPU time, we adopt pyramidal strategy to do template matching. In addition to these, we designed a check-up means to eliminate dummy defiles. The test results prove that this algorithm is robust. It's not sensitive to random noise and geometry distortion. In a word, this algorithm is quite effective.
机译:银行票据的自动分类对于加快办公室自动化非常重要。已经报道了一些方法来对银行票据的面额和方向进行分类。但是,没有有关de污检测的报告。在本文中,我们设计了一种快速有效的算法来检测银行票据上的污垢。我们利用数学形态图像处理来进行位移和旋转校正。为了减少CPU时间,我们采用金字塔策略进行模板匹配。除了这些,我们还设计了一种检查方法来消除伪污垢。测试结果证明了该算法的鲁棒性。它对随机噪声和几何变形不敏感。总之,该算法非常有效。

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