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Indian Paper Currency Authentication System using Image processing

Indian Paper Currency Authentication System using Image processing

Starting at: Rs.5,500.00

5500 reward points

Indian Paper Currency Authentication System using Image processing

Over the past few years, as a result of the great technological advances in color printing, duplicating and scanning, counterfeiting problems have become more and more serious. In the past, only the printing house has the ability to make counterfeit paper currency, but today it is possible for any person to print counterfeit bank notes simply by using a computer and a laser printer at house. Therefore the issue of efficiently distinguishing counterfeit banknotes from genuine ones via automatic machines has become more and more important. ounterfeit notes are a problem of almost every country but India has been hit really hard and has become a very acute problem. There is a need to design a system that is helpful in recognition of paper currency notes with fast speed and in less time. This proposed system describes an approach for verification of Indian currency banknotes. The currency will be verified by using image processing techniques. In this article, six characteristic features are extracted. The approach consists of a number of components including image processing, edge detection, image segmentation, characteristic extraction, comparing images


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  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
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  * Video Tutorials    

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)

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  • Model: PROJ7762
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Friday 11 August, 2017.