Counterfeit Currency Detection Technique Using Image Processing, Polarization Principle and Holographic Technique

Sekaran, Sairam; Vaikundam, Sriram; Kumarasamy, Anbu Mani

doi:10.1109/cimsim.2013.44

Cited by 16 publications

(3 citation statements)

References 2 publications

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“…This technique was used to match the value of a paper currency. Santhanam et al [18] have proposed two types of methods; one is ultraviolet detection and second is the polarization of light that passed through currency for Identification of Counterfeit Currency and it is based on only physical property. Yan and Lin [19] have described the Feedforward Neural Network for the identification of the fake currency.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Technique for Detection of Fake Currency

Snehlata¹,

Saxena²

2019

IJRTE

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During the past years, some of the researchers are using the matching techniques for identification of the fake currency either by using the Mathematical formulation or by using the readymade simulation tools. A lot of methods namely edge detection, segmentation, feature extraction, pattern matching has been used for finding and identification of the fake currency. In the present work, Principal Component Analysis (PCA) is used to detect the feature of currency through modeling and a proposed algorithm is elaborated to recognize the fake currency in the form of note Rs 2000 of Indian currency. Graphs are also designed to justify the present approach along with the comparison of results

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Section: Related Workmentioning

confidence: 99%

An Efficient Technique for Detection of Fake Currency

Snehlata¹,

Saxena²

2019

IJRTE

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“…Ballado and others [1] proposed detection of fake Philippine peso paper bill currency through image processing using Matlab tool. Zahid and all others [2] develop a core software system to build an automated counterfeit currency detection tool for Bangladeshi banknotes. In paper [3], authors have included two types of technique to identify fake Indian currency.…”

Section: IImentioning

confidence: 99%

Counterfeit Indian Currency Detection Through Image Processing in Labview

Bhingare¹

2017

IJRASET

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Forged currency is problem for almost all cash based economy country like India. Counterfeit currency notes are big hurdle for India. In past few years only printing house of Reserve Bank of India has the ability to print banknotes but now a days any person can print the banknote with the help of different technologies such as Color print technology, laser printer, duplicating technology and scanning technology. Due to advancement in these technologies counterfeit currency become more and more serious problem for Indian economy. Therefore there is a need to design a machine that recognize fake banknote from genuine banknote with low cost. In proposed system automatic fake Indian currency detection will be done through image processing. LabVIEW tool will be used for extract the security features of Indian paper currency.

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“…Result is considered positive if both the outputs are positive. [6] One of the methods is UV detection. It is principle which detects inks which are visible under UV light.…”

Section: Fake Currency Detectionmentioning

confidence: 99%

A Survey on Authentication, Counterfeit Note Detection& Automatic Printing System

Ugale¹,

Nyati²,

Shahane³

et al. 2017

International Journal of Advanced Research in Computer and Comm

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Abstract:In every educational institute, government offices printing play a major role. Now a day, printing is easy task because of the different printing machines available in the market. Printing requires human efforts so the system is semi-automatic. Printing at public places where beneficiary has to pay for printing, is still vastly dependent on the operator i.e. manual help. Also it is difficult to print the pages during rush time period which causes further time delay. To avoid the manual help in paying charges for printing and delay in printing, we are designing the standalone automated printing system which will deliver prints to authenticated user without any manual help other than user himself/herself. Every task from taking printouts to paying the charges for the printing will be done without any help from operator. For security purpose and to avoid misuse of system, authentication is necessary part. To avoid counterfeiting of currency while depositing the money, fake currency detection module will be needed. In this paper we are reviewing the authentication, technique of currency detection and the automated printing system designed in the past.

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Counterfeit Currency Detection Technique Using Image Processing, Polarization Principle and Holographic Technique

Cited by 16 publications

References 2 publications

An Efficient Technique for Detection of Fake Currency

An Efficient Technique for Detection of Fake Currency

Counterfeit Indian Currency Detection Through Image Processing in Labview

A Survey on Authentication, Counterfeit Note Detection& Automatic Printing System

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