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The Propose Currency Detection Technique Based on Sift Algorithm and Baysian Classifier: A Review


Author(s):

Akash Gupta , Galaxy Global Educational Trust's Group of Institutions, Dinarpur, Ambala, Haryana, India; Tarun Sharma, Galaxy Global Educational Trust's Group of Institutions

Keywords:

SIFT algorithm, currency detection, image processing

Abstract:

In this topic we are working to check the currency of India means we will apply the technique feature matching and recognize weather that currency notes are genuine or not. In the previous research SIFT algorithm is applied for feature matching. This algorithm only matches colour and paper type but do not match internal features like data which is printed on the strip. In future, techniques will be proposed which match the internal features of the note and recognize that whether it is genuine or not. The proposed enhancement will lead to increase efficiency of reorganization. The main advantage of this research is that it leads to design of automation system to check that currency is genuine or not.


Other Details:

Manuscript Id :IJSTEV4I2049
Published in :Volume : 4, Issue : 2
Publication Date: 01/09/2017
Page(s): 69-71
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