The Research of Edge Detection in RMB Paper Currency Value Identification

Abstract:

When using international popular algorithms deal with RMB paper currency, there exist three main aspects. First, the size of RMB paper currency is different with other countries. Second, the color of RMB paper currency is different from other countries, and the different face values have different major color, pattern and texture. Third, the location of face value in paper currency of our country is different from other countries. For RMB paper currency image, using edge detection is to separate the paper currency from the image according to boundary. In other words, the background is removed and only paper currency is left. This paper firstly introduces the principles of removing background by gradient operator, LOG algorithm and Canny algorithm. Then it analyzes the edge image results obtained by these three kind algorithms. At last, these three algorithms are evaluated. Results show that the Canny algorithm can satisfy the requirement of removing background and can improve a good foundation for the subsequent of paper currency extraction.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3492-3496
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3492
• Online since: September 2013
• Authors: Xiang Hua Hou, Hong Hai Liu
• Keywords: Background, Canny Operator, Edge Detection, Gradient Operator

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