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Proceedings Paper

Research of automatic counting paper money technology based on two-dimensional histogram theta-division
Author(s): Yongze Liu; Qingshen Meng; Xuejun Song; Aiting Li
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Paper Abstract

At present, the most technology of counting money is to use the money counter in financial fields. The paper presents a new method for automatic counting paper money which is based on image processing technology. Firstly, the paper money image is acquired by CCD. After analyzing the feature of image, we find that in Cr-space the edge of each paper money is enhanced. Then we use the north-west sobel operator for filtering and north sobel operator for detecting edge. Although the image-processed better highlight the edge of each paper money, the edge is rough and its variance is high. It is hardly to threshold the image for getting the single-pixel edge linked. After Different segmentation algorithm was been used for deriving the edge of paper money, we find the Two-dimensional Histogram θ-division algorithm is suitable for our purpose. The experimental result is proved satisfied. The detecting rate reached 100% in controlled environment for RMB. However, if we want to detect other kinds of paper money such as dollar, there also have several problems to be solved.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062A (23 November 2011); doi: 10.1117/12.901976
Show Author Affiliations
Yongze Liu, Hebei Normal Univ. (China)
Hebei Advanced Thin Films Lab. (China)
Qingshen Meng, Hebei Normal Univ. (China)
Xuejun Song, Hebei Normal Univ. (China)
Hebei Advanced Thin Films Lab. (China)
Aiting Li, Hebei Normal Univ. (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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