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Image based Coin Recognition System - A Survey

Aby Sasi, Sreekumar K.
2015 International Journal of Computer Applications  
Many approaches developed for the coin detection and calculate its corresponding values. For this several approaches are compared here to improve the performance of the system.  ...  The main objective of this system is to classify high volumes of coins with high accuracy and to recognize the coins of different denominations and count the total value of the coins.  ...  "A Research -Develop An Efficient Algorithm to Recognize, Separate And Count Indian Coin From Image Using Matlab Processing", [10] approach based on image processing method for the better accuracy.  ... 
doi:10.5120/ijca2015907458 fatcat:5zc455vrvvejvi5nkxyz3m2azi

A Review Paper on Automatic Coin Sorter for Temples using IOT

Prajakta P. Parteki
2021 International Journal for Research in Applied Science and Engineering Technology  
To prevail over these issues Automatic Coin Sorter for Temples using IOT is meant. During this system, the truth of the coin is detected employing a dimension standardization method.  ...  All the data regarding the coin is distributed to the Associate in Nursing digital display wherever the worth, reality, and count of the coin area unit are displayed.  ...  It is categorized based on images from both sides as well as a radius of the coin. The paper [2] deals with different fake currency detection systems.  ... 
doi:10.22214/ijraset.2021.36289 fatcat:fmbfzp5rmzezddp3khttlcjegq

An Efficient Technique for Detection of Fake Currency

2019 International journal of recent technology and engineering  
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  ...  Graphs are also designed to justify the present approach along with the comparison of results  ...  Representation of Fake Currency From the above work, it is concluded that PCA is an excellent approach to detect fake currencies in Indian scenario as well as worldwide.  ... 
doi:10.35940/ijrte.b3196.098319 fatcat:e7yxi7fyhrentmuz7kxry3wk3y

Detecting counterfeit banknotes with machine learning

Suneetha Rani R, Gayathri B, Venkata Surya M, Jharani Asha Kiran P, Siva Krishna R
2022 South asian journal of engineering and technology  
To design such an automated system there is need to design an efficient algorithm which is able to predict weather the banknote is genuine or forged bank currency as fake notes are designed with high precision  ...  The one important asset of our country is Bank currency and to create discrepancies of money miscreants introduce the fake notes which resembles to original note in thefinancial market.  ...  Thus it is imperative to be able to detect fake currency We propose a new approach to detect fake Indian notes using their images.  ... 
doi:10.26524/sajet.2022.12.40 fatcat:6qyellg2xvcyzo5okiyl3unwya

DeepFake Detection: A survey of countering malicious Deep-Fakes

Kimaya Kulkarni
2022 International Journal for Research in Applied Science and Engineering Technology  
This survey provides a thorough review of techniques to detect DeepFake manipulations.  ...  very realistic fake content with its corresponding society in this time of false or fake news.  ...  This detection approach was later implemented using images from the 100K-Faces database, achieving an EER of 12.3 percent for the best fake detection performance at the time. II.  ... 
doi:10.22214/ijraset.2022.44110 fatcat:jjo5r7widrhzhekzs56eydkmvi

An Efficient Way to Detect and Recognize the Overlapped Coins using Otsu's Algorithm based on Hough Transform Technique

Deepika Mehta, Anil Sagar
2013 International Journal of Computer Applications  
The competency to detect and to recognize the different denomination of coins is an essential expertise in the human beings life.  ...  This paper represents different algorithms for the detection and the recognition of coins which are highly overlapped.  ...  Various algorithms and the approaches used in the detection and recognition of coins.  ... 
doi:10.5120/12770-9804 fatcat:amt27kjufzervlftdun4uh6koa

Fake Indian Currency Recognition System by using MATLAB

Mr. S. S. Veling
2019 International Journal for Research in Applied Science and Engineering Technology  
We have implemented a fake note detection unit with image processing algorithms.  ...  Because of the advances in printing, scanning technologies it is easily possible for a person to print fake notes with use of latest hardware tools.  ...  On coins, milled or marked with parallel grooves edges are used to show that none of the valuable metal has been scraped off. Reserve bank uses several techniques to detect fake currency.  ... 
doi:10.22214/ijraset.2019.4605 fatcat:acgx5h2hs5htzidkt3sgrm7vti

Detection of Fake Currency using Image Processing

Ashik Shiby
2021 International Journal for Research in Applied Science and Engineering Technology  
This research project proposes a way to look at the note of counterfeit money distributed in our country through their image. After selecting an image use pre-processing.  ...  Finally, compare the picture to be real or fake. Duplicate money has been a major problem in the market.  ...  An easy approach to extracting data contained in a currency image is to capture the variation in an image collection, regardless of any judgment of feature and use this data to encode and compare with  ... 
doi:10.22214/ijraset.2021.36348 fatcat:2bcxmnoygbelbe5savamotc5sa

FAKE CURRENCY DETECTION SYSTEM USING CNN-VG16

Prasanthi Gottumukkala2 J Sirisha Devi1
2022 Zenodo  
The performance of a model is based upon the metrics such as accuracy, precision etc. This project is mainly used for detection of fake currency.  ...  The data sets used here are created on our own by gathering the pics of fake and real currencies. We use concepts of image processing, tensor flow to read the image and make the machine learn.  ...  FUTURE ENHANCEMENTS Future work could include coins in the dataset to make the system fully functional for both coins and notes. We intend to include a module for currency conversion in the future.  ... 
doi:10.5281/zenodo.7119087 fatcat:ftelakznsncvpfvxyo6pqb754m

Fake Egyptian Currency Detection System using Texture and Shape Characteristics

W. K.
2016 International Journal of Computer Applications  
This research paper presents a new feature extraction based system for detecting the fake Egyptian paper currency.  ...  Recently, due to the development in computer software, laser printers and scanners, counterfeiting has become an urgent issue.  ...  The proposed work is an effort to suggest an approach for extracting the important image features of Egyptian paper currency.  ... 
doi:10.5120/ijca2016910024 fatcat:zixmig5ljrds5mbzy53wn4swke

ACM Multimedia Grand Challenge on Detecting Cheapfakes [article]

Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, Balu Adsumilli
2022 arXiv   pre-print
This alteration of context is referred to as out-of-context (OOC) misuse of media. OOC media is much harder to detect than fake media, since the images and videos are not tampered.  ...  The aim of this challenge is to develop and benchmark models that can be used to detect whether given samples (news image and associated captions) are OOC, based on the recently compiled COSMOS dataset  ...  Algorithmic benchmarking is an efficient approach to analyze the results from different detection methods, but on top of evaluating the models themselves, the comparison of different approaches can help  ... 
arXiv:2207.14534v1 fatcat:wn42ftyarvh6xaqj7vkb5zqh2i

CHALLENGES IN INDIAN CURRENCY DENOMINATION RECOGNITION & AUTHENTICATION

Syed Ejaz Ali .
2014 International Journal of Research in Engineering and Technology  
According to the RBI report 435,607 fake notes has been detected in year 2010-2011 and the number is only increasing with technological advancements in the field of printing.  ...  This paper intends to present an extensive survey of the recent technological trends in recognition and authentication of paper currency note while identifying the various challenges.  ...  Spectral techniques are based on properties of Fourier spectrum and are used primarily to detect global periodicity in an image [13] .Some texture features that have been used for image retrieval are  ... 
doi:10.15623/ijret.2014.0311082 fatcat:jc3fma2ciba67aiirlpltubajy

Detection of Counterfeit Indian Currency Note using Image Processing

2019 International Journal of Engineering and Advanced Technology  
Here a system is proposed to differentiate between real and fake note which is based on the image processing technique and implemented in MATLAB.  ...  In this technique, first the image of 500 and 2000 rupee note is captured through the digital camera and perform preprocessing in order to remove noise and then mean intensity of RGB channels of image  ...  Surya [6] developed an interactive system based on image processing that generates Currency Recognition System with the help of MATLAB.  ... 
doi:10.35940/ijeat.a9972.109119 fatcat:kx4i3ypg6fhl5fu5wl6las6n7i

Deep fake detection using deep learning techniques

Gayathri S., Santhiya S., Nowneesh T., Sanjana Shuruthy K., Sakthi S.
2023 Applied and Computational Engineering  
Many models had been proposed by different re-searchers which give an average accuracy of 90%.  ...  To improve the detection efficiency, this proposed paper uses 3 different deep learning techniques: Inception ResNetV2, Effi-cientNet, and VGG16.  ...  Algorithmic detection identifies corrupted media using an AI-based algorithm.  ... 
doi:10.54254/2755-2721/2/20220655 fatcat:hk4st2dmu5cfvigzqward2yzxq

Global Texture Enhancement for Fake Face Detection in the Wild [article]

Zhengzhe Liu, Xiaojuan Qi, Philip Torr
2020 arXiv   pre-print
Motivated by the above observations, we propose a new architecture coined as Gram-Net, which leverages global image texture representations for robust fake image detection.  ...  In this paper, we conduct an empirical study on fake/real faces, and have two important observations: firstly, the texture of fake faces is substantially different from real ones; secondly, global texture  ...  However, in contrast to the intensive studies in GANs, our understanding of generated faces is fairly superficial and how to detect fake faces is still an under-explored problem.  ... 
arXiv:2002.00133v2 fatcat:sfhmicndzrdsfb42yczlrpwp54
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