C. Chang, T. Yu, and H. Yen, Paper Currency Verification with Support Vector Machines, 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, pp.860-865, 2007.
DOI : 10.1109/SITIS.2007.146

S. Gupta, D. Handa, R. Singh, and K. Kumar, Forensic identification of Rs. 1,000 ? Awareness for genuineness, CBI Bulletin, pp.41-45, 2011.

G. Gupta, C. Mazumdar, M. Rao, and R. Bhosale, Paradigm shift in document related frauds: Characteristics identification for development of a non-destructive automated system for printed documents, Digital Investigation, pp.43-55, 2006.
DOI : 10.1016/j.diin.2006.01.009

G. Gupta, S. Saha, S. Chakraborty, and C. Mazumdar, Document Frauds: Identification and Linking Fake Document to Scanners and Printers, 2007 International Conference on Computing: Theory and Applications (ICCTA'07), pp.497-501, 2007.
DOI : 10.1109/ICCTA.2007.55

G. Gupta, R. Sultania, S. Mondal, S. Saha, and B. Chanda, A Structured Approach to Detect Scanner-Printer Used in Generating Fake Document, Proceedings of the Third International Conference on Information Systems Security, pp.250-253, 2007.
DOI : 10.1007/978-3-540-77086-2_19

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

M. Ionescu and A. Ralescu, Fuzzy Hamming Distance Based Banknote Validator, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., pp.300-305, 2005.
DOI : 10.1109/FUZZY.2005.1452410

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.6610

C. Liu, S. Ruan, G. Huang, Y. Jian, and L. Zhang, Research on identification of counterfeits by recognizing infrared images, Proceedings of the International Conference on Microwave and Millimeter Wave Technology, pp.2081-2084, 2008.

S. Ryu, H. Lee, I. Cho, and H. Lee, Document Forgery Detection with SVM Classifier and Image Quality Measures, Proceedings of the Ninth Pacific Rim Conference on Multimedia, pp.486-495, 2008.
DOI : 10.1109/TIP.2002.807363

J. Van-beusekom, F. Shafait, and T. Breuel, Document Signature Using Intrinsic Features for Counterfeit Detection, Proceedings of the Second International Workshop on Computational Forensics, pp.47-57, 2008.
DOI : 10.1007/978-3-540-85303-9_5

J. Xie, C. Qin, T. Liu, Y. He, and M. Xu, A new method to identify the authenticity of banknotes based On the texture roughness, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp.1268-1271, 2009.
DOI : 10.1109/ROBIO.2009.5420820

C. Yeh, W. Su, and S. Lee, Employing multiple-kernel support vector machines for counterfeit banknote recognition, Applied Soft Computing, vol.11, issue.1, pp.1439-1447, 2011.
DOI : 10.1016/j.asoc.2010.04.015