期刊文献+

纸币清分系统中的纸币污损检测

A Defect Detection Algorithm for Paper Currency Sorting System
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摘要 针对纸币上常见的笔划及撕裂,提出了一种基于均匀性特征的污损检测方法.首先利用均匀性特征判定待检纸币上可能存在污损的区域,然后进行图像配准,确定这些区域在参考图像上的对应位置,并逐像素进行比较,最终判定待检图像的污损状况. This paper advances a homogeneity based algorithm for the detection of scratches and cracks appearing on paper currency. The homogeneity feature of the sensed paper currency image is first constructed to locate the possibly polluted pixels. The image registration algorithm is subsequently used to overlay the sensed and reference paper currency images. At last, each possibly polluted pixel on the sensed image is compared with its corresponding pixel on the reference image to estimate the contamination level.
机构地区 哈尔滨工业大学
出处 《自动化学报》 EI CSCD 北大核心 2007年第9期971-973,共3页 Acta Automatica Sinica
关键词 纸币清分 污损检测 均匀性特征 Paper currency sorting, defect detection, homogeneity
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参考文献4

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二级参考文献5

  • 1Fumiaki Takeda, Sigeru Ornatu. High speed paper currency recognition by neural networks. IEEE Trans on Neural Network,1995, 6(1): 73--77.
  • 2Nei Kato, Shin'chiro Omachi. A handwriting character recognition system using directional element feature. IEEE Trans on Pattern Analysis and Machine Intelligence, 1999, 21(3): 258-- 262.
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