A PAPER CURRENCY RECOGNITION SYSTEM USING IMAGE PROCESSING TO IMPROVE THE RELIABILITY WITH PCA METHOD

Abstract

Automatic paper currency recognition always depends on the currency note characteristics of a particular country and the extraction of features directly affects the ability of recognition. Currency has great significance in day to day life and may be because the currency recognition is a great area of interest. We know that, for people, to count different denomination notes in a bunch is a major task as well as its very difficul t for people to recognize currencies from different countries. In this paper, we present an image processing technique to extract paper currency denomination based on the local principal component analysis (PCA) method. Here, We try to give an idea to solv e such types of problem to help the people.

Authors and Affiliations

VibhutiVashishtha , Md. Sadim

Keywords

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  • EP ID EP111367
  • DOI -
  • Views 66
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How To Cite

VibhutiVashishtha, Md. Sadim (30). A PAPER CURRENCY RECOGNITION SYSTEM USING IMAGE PROCESSING TO IMPROVE THE RELIABILITY WITH PCA METHOD. International Journal of Engineering Sciences & Research Technology, 4(6), 172-175. https://europub.co.uk/articles/-A-111367