Browse > Article
http://dx.doi.org/10.3745/KTSDE.2013.2.12.889

Counterfeit Money Detection Algorithm based on Morphological Features of Color Printed Images and Supervised Learning Model Classifier  

Woo, Qui-Hee (국립금오공과대학교 컴퓨터IT학과)
Lee, Hae-Yeoun (국립금오공과대학교 컴퓨터소프트웨어공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.2, no.12, 2013 , pp. 889-898 More about this Journal
Abstract
Due to the popularization of high-performance capturing equipments and the emergence of powerful image-editing softwares, it is easy to make high-quality counterfeit money. However, the probability of detecting counterfeit money to the general public is extremely low and the detection device is expensive. In this paper, a counterfeit money detection algorithm using a general purpose scanner and computer system is proposed. First, the printing features of color printers are calculated using morphological operations and gray-level co-occurrence matrix. Then, these features are used to train a support vector machine classifier. This trained classifier is applied for identifying either original or counterfeit money. In the experiment, we measured the detection rate between the original and counterfeit money. Also, the printing source was identified. The proposed algorithm was compared with the algorithm using wiener filter to identify color printing source. The accuracy for identifying counterfeit money was 91.92%. The accuracy for identifying the printing source was over 94.5%. The results support that the proposed algorithm performs better than previous researches.
Keywords
Counterfeit Money Detection; Morphological Feature; Gray Level Co-occurrence Matrix; Supervised Learning Model Classifier;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 J.-H. Choi, H.-Y. Lee, and H.-K. Lee, "Color laser printer forensic based on noisy feature and support vector machine classifier," Multimedia Tools and Applications, 2011.
2 J. Y. Baek, H.-S. Lee, S. G. Kong, J.-H. Choi, and H.-Y. Lee, "Color Laser Printer Forensics through Wiener Filter and Gray Level Co-occurrence Matrix," Journal of KIISE: Software and Applications, Vol.37(8), pp.599-610, 2010.   과학기술학회마을
3 R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing Using MATLAB, Pearson Prentice Hall, pp. 398-407, 2003.
4 R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural Features for image classification," IEEE Transactions on Systems, Man, Cybernetics, Vol.3(6), pp.610-621, 1973.   DOI   ScienceOn
5 J. H. Choi, H.-Y. Lee, H.-K. Lee, and Y.-H. Suh, "Color Laser Printer Forensics with Noise Texture Analysis," Proc. of ACM Multimedia and Security (MMSEC 2010), pp.19-24, 2010.
6 J. Y. Baek, H.-S. Lee, S. G. Kong, J.-H. Choi, Y. M. Yang and H.-Y. Lee, "Color Laser Printer Identification through Discrete Wavelet Transform and Gray Level Co-occurrence Matrix," The KIPS Transactions : Part B, Vol.17-B(3), pp. 197-206, 2010.   과학기술학회마을   DOI   ScienceOn
7 S.-K. Ji and H.-Y. Lee, "Algorithm for Detecting Counterfeit Money based on Feature Analysis," Proceedings of the 37th Conference of the KIPS, pp.344-347, 2012.
8 S.-K. Ji and H.-Y. Lee, "Counterfeit Money Detection Algorithm using Non-Local Mean Value and Support Vector Machine Classifier," KIPS Transactions on Software and Data Engineering, Vol.2(1), pp.55-64, 2013.   과학기술학회마을   DOI   ScienceOn
9 A. Chu, C. M. Sehgal, and J. F. Greenleaf, "Use of Gray Value Distribution of Run Lengths for Texture Analysis," Pattern Recognition Letters, Vol.11, pp.415-420, 1990.   DOI   ScienceOn
10 Wikipedia, "Support Vector Machine," http://en.wikipedia.org/wiki/Support_vector_machine