RECENT DEVELOPMENTS IN PAPER CURRENCY RECOGNITION SYSTEM

Currency denomination recognition is one the active research topics at present. And this wide interest is particularly due to the various potential applications it has. Monetary tra nsaction is an integral part of our day to day acti vities. However, blind people particularly suffer in monetary transactions. They are not able to effectively distinguish between var ious denominations and are often deceived by other people. Also, a reliable currency recognition system could be used in any sector whe rever monetary transaction is of concern. Thus, there is an ardent need to design a system that is helpful in recognition of paper c urrency notes correctly. Currency denomination detection is a vast area of research a nd significant progress had been achieved over the years. This paper presents an extensive survey of research on various development s in recent years in identification of currency den omination. A number of techniques applied by various researchers are discu ssed briefly in order to assess the state of art.

[1]  M. M. Sharma,et al.  Paper Currency Recognition System Using Characteristics Extraction and Negatively Correlated NN Ensemble , 2011 .

[2]  Farid García,et al.  Recognition of Mexican banknotes via their color and texture features , 2012, Expert Syst. Appl..

[3]  Xu Liu,et al.  A camera phone based currency reader for the visually impaired , 2008, Assets '08.

[4]  H. Aggarwal,et al.  Indian Currency Note Denomination Recognition in Color Images , 2012 .

[5]  S. D. Bharkad,et al.  Survey Of Currency Recognition System Using Image Processing , 2013 .

[6]  Allah Bux Sargano,et al.  ROBUST FEATURES AND PAPER CURRENCY RECOGNITION SYSTEM , 2013 .

[7]  Kazuyuki Murase,et al.  A Paper Currency Recognition System Using Negatively Correlated Neural Network Ensemble , 2010, J. Multim..

[8]  Xiaodong Yang,et al.  Robust and Effective Component-Based Banknote Recognition for the Blind , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[9]  Haman Nurlaila Currency recognition and converter system , 2008 .

[10]  Rubeena Mirza,et al.  Paper Currency Verification System Based on Characteristic Extraction Using Image Processing , 2012 .

[11]  Aoba Masato,et al.  Euro Banknote Recognition System Using a Three - layered Perceptron and RBF Networks , 2003 .

[12]  V. Jain,et al.  Indian Currency Denomination Identification Using Image Processing Technique , 2013 .

[13]  Parminder Singh Reel,et al.  Image Processing based Heuristic Analysis for Enhanced Currency Recognition , 2011 .

[14]  Patrick Pérez,et al.  Interactive Image Segmentation Using an Adaptive GMMRF Model , 2004, ECCV.

[15]  Naveen Dhillon,et al.  Bank Automation System for Indian Currency A Graphical Approach , 2013 .

[16]  D. A. K. S. Gunaratna,et al.  ANN Based Currency Recognition System using Compressed Gray Scale and Application for Sri Lankan Currency Notes - SLCRec , 2008 .

[17]  Kavinda Wickramasinghe,et al.  Bank notes recognition device for Sri Lankan vision impaired community , 2013, 2013 8th International Conference on Computer Science & Education.

[18]  M VeluC,et al.  Indian Coin Recognition and Sum Counting System of Image Data Mining Using Artificial Neural Networks , 2011 .