We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Comparative Study of Different Paper Currency and Coin Currency Recognition Method

by Dipti Pawade, Pranchal Chaudhari, Harshada Sonkambale
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 23
Year of Publication: 2013
Authors: Dipti Pawade, Pranchal Chaudhari, Harshada Sonkambale
10.5120/11257-6360

Dipti Pawade, Pranchal Chaudhari, Harshada Sonkambale . Comparative Study of Different Paper Currency and Coin Currency Recognition Method. International Journal of Computer Applications. 66, 23 ( March 2013), 26-31. DOI=10.5120/11257-6360

@article{ 10.5120/11257-6360,
author = { Dipti Pawade, Pranchal Chaudhari, Harshada Sonkambale },
title = { Comparative Study of Different Paper Currency and Coin Currency Recognition Method },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 23 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number23/11257-6360/ },
doi = { 10.5120/11257-6360 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:13.436891+05:30
%A Dipti Pawade
%A Pranchal Chaudhari
%A Harshada Sonkambale
%T Comparative Study of Different Paper Currency and Coin Currency Recognition Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 23
%P 26-31
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Currency has great importance in day to day life and may be because the currency recognition is a great area of interest for researchers. Different methods have been proposed by researchers for both coin and paper currency recognition. On the basic of vigorous literature survey, we can conclude that image processing is the most popular and effective method of currency recognition. Image processing based currency recognition technique consists of few basic steps like image acquisition, its pre-processing and finally recognition of the currency. Normally camera or scanner is used for image acquisition. Then these images are processed by using various techniques of image processing and various features are extracted from the images which are the key concept behind currency classification. In this paper, we have discussed various currency recognition methods proposed by different researchers and summarized their work.

References
  1. Yasue Mitsukura, Minoru 'ukumi, Norio Akamatsu, "Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA" in proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000, IJCNN 2000, Vol. 5, Pp. 178 – 183
  2. Laurens J. P. , van der Maaten and Paul J. Boon, "Coin-o-matic: A fast system for reliable coin classification" in Proceedings of the MUSCLE CIS Coin Computation Workshop, Sep. 1, 2006, Germany, pp. 7-17.
  3. Chalechale A. , "Coin Recognition Using Image Abstraction And Spiral Decomposition", 9th International Symposium on Signal Processing and Its Applications, 2007. ISSPA 2007.
  4. Shen L. , Jia S. , J, Z. , and Chen W. S. , "Statistics of Gabor features for coin recognition", IEEE International Workshop on Imaging Systems and Techniques, 2009.
  5. Al-Zoubi H. R. , "Efficient coin recognition using a statistical approach", 2010 IEEE International Conference on Electro/Information Technology (EIT), 2010.
  6. Shatrughan Modi, Dr. Seema Bawa, "Automated Coin Recognition System using ANN" International Journal of Computer Applications (0975 – 8887) Volume 26– No. 4, July 2011, Pp. 13-18.
  7. Rahele Allahverdi, Azam Bastanfard, Daryoosh Akbarzadeh, "Sasanian Coins Classification Using Discrete Cosine Transform", in IEEE proceedings of The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012), 2012, Pp. 278-282.
  8. Masato Aoba, Tetsuo Kikuchi, Yoshiyasu Takefuji, "Euro banknote recognition system using a three layer perceptron and RBF networks", IPSJ Transaction on Mathematical Modeling and Its Application, Vol 44, No. SIG 7 (TOM 8), May 2003, Pp. 99-109.
  9. Ali Ahmadi, Sigeru Omatu, Toshihisa Kosaka, "A Reliable Method for Recognition of Paper Currency by Approach to Local PCA) used local principal component analysis PCA", in IEEE proceedings of the International Joint Conference on Neural Networks, 20-24 July 2003,Vol. 2, Pp. 1258 – 1262.
  10. D. A. K. S. Gunaratna, N. D. Kodikara and H. L. Premaratne, "ANN Based Currency Recognition System using Compressed Gray Scale and Application for Sri Lankan Currency Notes-SLCRec", in proceedings of world academy of science, engineering and technology, Nov 2008,vol. 35,ISSN 2070-3740, Pp. 235-240.
  11. Kalyan Kumar Debnath, Sultan Uddin Ahmed, Md. Shahjahan, "A Paper Currency Recognition System Using Negatively Correlated Neural Network Ensemble", Journal Of Multimedia, December 2010, Vol. 5, No. 6, Pp. 560-567.
  12. Junfang Guo, Yanyun Zhao, Anni Cai, "A reliable method for paper currency recognition based on LBP" in proceeding of 2nd IEEE International Conference on Network Infrastructure and Digital Content, 24-26 Sept. 2010, Pp. 359 – 363.
  13. Hai-dong Wang, Leye Gu, Linping Du, "A paper currency number recognition based on fast Adaboost training algorithm", in IEEE proceedings of International Conference on Multimedia Technology (ICMT), Pp. 4772 – 4775.
  14. Chetan B. V. , Dr. P. A. Vijaya, "A Robust Side Invariant Technique of Indian Paper Currency Recognition", International Journal of Engineering Research & Technology (IJERT), May – 2012, Vol. 1 Issue 3, Pp. 1-7.
  15. Amir Rajaei, Elham Dallalzadeh, Mohammad Imran "Feature Extraction of Currency Notes: An Approach Based on Wavelet Transform" in IEEE proceedings of Second International Conference on Advanced Computing & Communication Technologies -2012, 7-8 Jan. 2012 ,Pp. 255 – 258.
  16. Ebtesam Althafiri, Muhammad Sarfraz, Muhannad Alfarras, "Bahraini Paper Currency Recognition" Journal of Advanced Computer Science and Technology Research, June 2012, Vol. 2 No. 2, Pp. 104-115.
Index Terms

Computer Science
Information Sciences

Keywords

Image acquisition and processing Feature Extraction