• Corpus ID: 41690405

A Survey on Counterfeit Paper Currency Recognition and Detection

@inproceedings{Mahajan2014ASO,
  title={A Survey on Counterfeit Paper Currency Recognition and Detection},
  author={Shital M. Mahajan and K. P. Rane},
  year={2014}
}
This surveys paper reports various articles dealing with counterfeit paper currency recognition and detection systems. This paper attempts to represent the survey on fake money detection because almost every country in the world is facing the problem of forged money, but in India, the problem is exasperating as the country is hit hard by this evil practices. Counterfeit notes of Rs.100, 500 and 1000 are being spread all over the world that’s why it is important to detect such fake notes which… 
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10 Citations
Background Citations
3

10 Citations

Detection of Fake Indian Currency
TLDR
This project will recognize Indian currency notes using a real time image obtained from a webcam using image processing technology and applying it for the purpose of verifying valid currency notes and detects fake currency by extracting features of notes.
A Survey on Banknote Recognition Methods by Various Sensors
TLDR
Techniques used in each of the four areas recognize banknote information (denomination, serial number, authenticity, and physical condition) based on image or sensor data, and are actually applied to banknote processing machines across the world.
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
TLDR
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.
Identity Document and banknote security forensics: a survey
TLDR
The present survey covers a wide range of anti-counterfeiting security features, categorizing them into three components: security substrate, security inks and security printing respectively, and presents works in the literature covering these three categories.
An Intelligent Method for Indian Counterfeit Paper Currency Detection
TLDR
The proposed method feature extraction is based on the characteristics of Indian paper currencies and produced classification accuracy of 95.8%.
A STUDY ON INDIAN FAKE CURRENCY DETECTION
Abstract: Counterfeit currency detection is a major issue around the world, influencing the economy of pretty much every nation including India. The utilization of fake money is one of the…
Recognition of the Old and Soiled Indian Paper Currency using Image Processing
In the paper, a system is proposed which is used to identify the old and soiled Indian paper currency notes. When the new currency notes are introduced and put into circulation, they get passed from…
Bogus currency authorization using HSV techniques
TLDR
The main objective of this work is used to identify fake currencies among the real currency by using edge detection techniques, used to enhance reliability and dynamic way in detecting the counterfeit currency.
Fig . 3 Output Image III . PROPOSED WORK FLOW CHART : Fig . 4 Block diagram ALGORITHM : STEP 1
TLDR
In the proposed work, detection of the counterfeit banknotes using multispectral images is implemented by Neural Network technique, which will reduce the cost when neural networks are used and shows good performance and a low level of complexity.
INDIAN FAKE CURRENCY DETECTION USING COMPUTER VISION
TLDR
A computer vision based approach for Indian paper currency detection by using ORB and BF matcher in OpenCV based and the average accuracy of detection is up to 95.0% and tested this method on different denominations of Indian banknote.

References

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