K. Santhanam, S. Sekaran, Sriram Vaikundam, Anbu Mani Kumarasamy
{"title":"Counterfeit Currency Detection Technique Using Image Processing, Polarization Principle and Holographic Technique","authors":"K. Santhanam, S. Sekaran, Sriram Vaikundam, Anbu Mani Kumarasamy","doi":"10.1109/CIMSIM.2013.44","DOIUrl":null,"url":null,"abstract":"The growing menace of fake or counterfeit currency is one of the biggest threat to any nations economy across the globe and to ameliorate this threat is a far cry, so through this paper titled DIGITIZED CURRENCY we provide an innovative method to identify the counterfeit currency, (i.e) it encompasses polarization concept, Image processing technique, and Holographic Detection methods to detect counterfeit currency based on the physical properties of the currency rather than the existing methodology that relay on its chemical property. This is achieved by providing mathematical model, experimental verification and Lab view based simulation and also through automation to enhance reliability and accuracy in a cheaper, efficient and dynamic way in detecting the counterfeit currency.","PeriodicalId":249355,"journal":{"name":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","volume":"10 15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMSIM.2013.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
The growing menace of fake or counterfeit currency is one of the biggest threat to any nations economy across the globe and to ameliorate this threat is a far cry, so through this paper titled DIGITIZED CURRENCY we provide an innovative method to identify the counterfeit currency, (i.e) it encompasses polarization concept, Image processing technique, and Holographic Detection methods to detect counterfeit currency based on the physical properties of the currency rather than the existing methodology that relay on its chemical property. This is achieved by providing mathematical model, experimental verification and Lab view based simulation and also through automation to enhance reliability and accuracy in a cheaper, efficient and dynamic way in detecting the counterfeit currency.