Abstract
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
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Management of Technology and Innovation,General Engineering
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Counterfeit Currency Detection and Recognition for Blind People;International Journal of Advanced Research in Science, Communication and Technology;2023-11-19
2. Fake Currency Note Recognition using Extreme Learning Machine;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04
3. Malaysian Banknotes Counterfeit Detection Algorithm for Fifty Ringgit and One-hundred Ringgit;2022 International Visualization, Informatics and Technology Conference (IVIT);2022-11-01
4. Malaysian Banknotes Counterfeit Detection Algorithm for Ten Ringgit and Twenty Ringgit;2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2022-06-25
5. Texture Feature Technique for Security of Indian Currency;Lecture Notes in Electrical Engineering;2021