• Corpus ID: 7489003


  author={Megha Thakur and Amrit Kaur},
This paper presents the various fake currency detection techniques. Fake currency is imitation currency produced without the legal sanction of the state or government. Producing or using fake currency is a form of fraud or forgery. Over the past few years, as a result of the great technological advances in colour printing, duplicating and scanning, counterfeiting problems have become more and more serious. Therefore the issue of efficiently distinguishing counterfeit banknotes from genuine ones… 
Analysis of Counterfeit Currency Detection Techniques for Classification Model
The study presents various fake currency detection techniques proposed by various researchers and finds that classification Model using Logistic regression shows better accuracy of 99% then LDA.
Texture Classification for Fake Indian Currency Detection
An automated image-based technique is described for the detection of newly issued fake currency by RBI using the bit-plane slicing technique to extract the most significant data from counterfeit banknote images with the application of an edge detector algorithm.
Fake Currency Detection Using Image Processing and Machine Learning
With the increase in the technology, the convenience and ease of people to carry out various task is increasing on a large scale. But with the advancement in technology, the amount of crime carried
Feature fusion for fake Indian currency detection
The approach presented in this paper is based upon physical appearance of the Indian currency, and the decisive score of all the three features has been fused to differentiate between real and fake currencies.
To make the framework increasingly robust and exact, the definitive score of all the three highlights has been intertwined to separate among genuine and fake monetary standards.
Detection Method for Counterfeit Currency Based on Bit-Plane Slicing Technique
A new approach is presented in this paper using the bit-plane slicing technique to extract the most significant data from counterfeit banknote images with the application of an edge detector algorithm.
Image processing based Feature extraction of Bangladeshi banknotes
  • Z. Ahmed, S. Yasmin, M. Islam, R. Ahmed
  • Computer Science
    The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014)
  • 2014
A core software system to build a robust automated counterfeit currency detection tool for Bangladeshi bank notes using OCR, Contour Analysis, Face Recognition, Speeded UP Robust Features (SURF) and Canny Edge & Hough transformation algorithm of OpenCV is presented.
Fake Currency Detection
  • Arya S, Dr. M. Sasikumar
  • Computer Science
    2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)
  • 2019
This work proposes a very helpful and efficient system to detect the fake currency by counting the number of interruptions in the thread line and calculates the entropy of the currency notes for the efficient detection of fake currency note.
Paper Currency Detection based Image Processing Techniques: A review paper
The main goal of this work is to compare previous papers and literatures through reviews these literatures and identify the advantages and disadvantage for each method in these Literatures.
Banknote Identification Based on Color and Texture
It was presented simple method of identification of counterfeit paper banknotes, which automatically using image processing techniques, is classified as fake note.


Fake Currency Detection Using Image Processing and Other Standard Methods
Counterfeit money is imitation currency produced without the legal sanction of the state or government. Producing or using this fake money is a form of fraud or forgery. Counterfeiting is as old as
Paper Currency Verification System Based on Characteristic Extraction Using Image Processing
This proposed system describes an approach for verification of Indian currency banknotes that consists of a number of components including image processing, edge detection, image segmentation, characteristic extraction, and comparing images.
A Review on Different Currency Recognition System for Bangladesh India China and Euro Currency
The paper represents recognition system of different countries like Bangladesh, China, India and recognition system for Euro currency and method used to develop these systems.
Survey of fraud detection techniques
The goal of this paper is to provide a comprehensive review of different techniques to detect frauds and present a survey of current techniques used in credit card fraud detection, telecommunication Fraud detection, and computer intrusion detection.
Survey Of Currency Recognition System Using Image Processing
Application area of currency recognition includes foreign exchange, automatic selling of things and in banks, and recognition ability depends on the currency note characteristics of particular country and extraction of features.
Indian Currency Note Denomination Recognition in Color Images
This paper uses the localized regions of the image and feeds it into the recognition module for determination of the denomination of currency note and the results obtained, thereafter.
New recognition algorithm for various kinds of Euro banknotes
  • Jae-kang Lee, Il-Hwan Kim
  • Computer Science
    IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)
  • 2003
A new point extraction and recognition algorithm for banknotes is proposed using a coordinate data extraction method from specific parts of a banknote representing the same color to recognize banknotes.
High speed paper currency recognition by neural networks
A new technique is proposed to improve the recognition ability and the transaction speed to classify the Japanese and US paper currency and to reduce the input scale of the neural network without preventing the growth of recognition.
A neuro-paper currency recognition method using optimized masks by genetic algorithm
  • F. Takeda, S. Omatu
  • Computer Science
    1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century
  • 1995
The GA is effective for systematizing the neuro-paper currency recognition with masks and the authors refer to a high-speed neuro recognition board which they have developed to realize neuro- paper currency recognition in commercial products and show its capacity.
Recognition of paper currencies by hybrid neural network
  • M. Tanaka, F. Takeda, K. Ohkouchi, Y. Michiyuki
  • Computer Science
    1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)
  • 1998
The use of the probability density formed by a multivariable Gaussian function, where the input data space is transferred to a lower dimensional subspace is proposed, which refers the total processing system as a hybrid neural network.