Paper Currency CIS Image Fuzzy Enhancement and Boundary Detection

Xi Wen Liu; Chao Ying Liu

doi:10.4028/www.scientific.net/AMM.651-653.2356

Paper Titles

New Criterion for Stability of Linear Systems with Interval Time-Varying Delay
p.2339

New OFDM Channel Estimation Method Based on ISI Cancellation
p.2343

Numerical Simulation of the Basketball Flight Trajectory Based on FLUENT Fluid Solid Coupling Mechanics
p.2347

Optimizing the Greedy Algorithm Used in the TSP Abstract Problems
p.2352

Paper Currency CIS Image Fuzzy Enhancement and Boundary Detection
p.2356

Parallel Filtering Algorithm in Three Dimensions for IMM Maneuvering Target Tracking
p.2362

Research of Speech Enhancement Based on Adaptive Noise Cancellation Methods
p.2368

Research on Infrared Imaging Modeling and Simulation of Armored Vehicles
p.2372

Research on Mathematical Methods Based on Special Workpiece Grinding
p.2377

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Paper Currency CIS Image Fuzzy Enhancement and...

Paper Currency CIS Image Fuzzy Enhancement and Boundary Detection

Abstract:

According to the features of paper currency CIS image, the fuzzy set theory is initial used to improve the contrast of banknote target and background, paper money’s edge pixels are obtained by scanning, and then the sub-pixel edges are fitted by least square method; in the fitting process, the error threshold method is applied for eliminating noisy edge points, then slope correction of paper money is carried out according to the angle of sub-pixel edge line and the note area is extracted, finally, fuzzy enhancement is used for the extracted image again. Experiments show that, this method has good versatility, high accuracy and strong anti-interference ability, it can even extract the paper currency area effectively in the edge deterioration and unfilled corner condition, and the enhanced image is in favor of subsequent paper currency recognition.

You might also be interested in these eBooks

Material Science, Civil Engineering and Architecture Science, Mechanical Engineering and Manufacturing Technology II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

2356-2361

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.2356

Citation:

Cite this paper

Online since:

September 2014

Authors:

Xi Wen Liu*, Chao Ying Liu

Keywords:

Cis, Fuzzy Enhancement, Line Fitting, Paper Currency Image

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] B. D, X. F. Wang. The design and realization of paper currency recognition system. Journal Harbin University of Science & Technology, Vol. 13, No. 4(2008), pp.10-13. (in Chinese).

Google Scholar

[2] Y. Zhang, X. B. Chen, Q. H. Wu, Y. S. L, Identification system of RMB paper currency, Chinese Journal of Scientific Instrument, Vol. 25, No. 4(2004), pp.669-690. (in Chinese).

Google Scholar

[3] H. Wang, S. L. Xiao, Q. H, Zhang. Study on algorithm of distinguishing the forged notes from the paper currencies based on image feature. Journal of Optoelectronics & Laser, Vol. 20, No. 12(2009), pp.1655-1657. (in Chinese).

Google Scholar

[4] S. K. Pal, R. A. King. One edge detection of X-ray images using fuzzy sets, IEEE Trans., PAM I, Vol. 5, No. 1(1983), pp.69-77.

Google Scholar

[5] D. L. Zhou, et al. A fuzzy algorithm for better edge detection, Journal of Northwestern Poly technical University, Vol. 20, No. 1(2002), pp.66-69. (in Chinese).

Google Scholar

[6] H. Wang, J. H. Zhang. An algorithm of edge detection based on fuzzy enhancement of contrast among successive regions, ACTA Electronica Sinica, Vol. 28, No. 1(2000), pp.45-47. (in Chinese).

Google Scholar

[7] N. Otsu. A threshold selection method from gray level histogram, IEEE Trans actions on Systems, Man, and Cybernetics, Vol. 9, No. 1(1979), pp.62-66.

DOI: 10.1109/tsmc.1979.4310076

Google Scholar