An Intelligent Method for Indian Counterfeit Paper Currency Detection

The production of counterfeit paper currencies has become cheaper because of the advancement in the printing technologies. The circulation of counterfeit currencies down the economy of a country. By leveraging this, there is a mandate to develop an intelligent technique for the detection and classif...

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Bibliographic Details
Published in:Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt 2021, Vol.12 (Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications.), p.36-49
Main Authors: Diana Andrushia, Mary Neebha, Thusnavis Bella Mary
Format: Article
Language:eng ; per
Subjects:
counterfeit currency
currency detection
indian paper currency
intelligent system
svm
Online Access:Get full text
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Summary:The production of counterfeit paper currencies has become cheaper because of the advancement in the printing technologies. The circulation of counterfeit currencies down the economy of a country. By leveraging this, there is a mandate to develop an intelligent technique for the detection and classification of counterfeit currencies. The intelligent techniques play a major role in the field of Human Computer Interaction (HCI) too. This paper deals with the detection of counterfeit Indian currencies. The proposed method feature extraction is based on the characteristics of Indian paper currencies. The first order and second order statistical features are extracted initially from the input. The effective feature vectors are given to the SVM classifier unit for classification. The proposed method produced classification accuracy of 95.8%. The experimental results are compared with state-of-the methods and produced reliable results.
ISSN:2008-5893
2423-5059
DOI:10.22059/jitm.2020.79189