Machine Learning Based Currency Classification System
CS Jyothi, S Rajeswari, GR Prasad… - 2023 9th International …, 2023 - ieeexplore.ieee.org
There are 39 million blind people and 284 million people who are visually impaired
worldwide, according to a World Health Organization estimate. In today's fast-paced …
worldwide, according to a World Health Organization estimate. In today's fast-paced …
[PDF][PDF] Paper Currency Authenticity Recognition Model Using Machine Vision Image Processing Based on Fuzzy Interface System [J]
M Mirbod - International Journal of Industrial and Manufacturing …, 2022 - researchgate.net
This study presents the paper currency authenticity recognition model using machine vision
and image processing and fuzzy interface system in the Framework of Industrial Information …
and image processing and fuzzy interface system in the Framework of Industrial Information …
Novel Feature Extraction and Representation for Currency Classification
HH Wang, YC Wang, BL Wee… - Journal of Advanced …, 2023 - semarakilmu.com.my
In an era marked by the rapidly growing levels of international trade and tourism, the
accurate recognition of various currency notes has become a necessity. This paper presents …
accurate recognition of various currency notes has become a necessity. This paper presents …
Fuzzy Logic Weighted Averaging Algorithm for Malaysian Banknotes Reader Featuring Counterfeit Detection: Manuscript Received: 27 February 2023, Accepted: 28 …
This paper proposed a novel fuzzy logic weighted averaging (FLWA) algorithm in image
processing techniques to detect counterfeit Malaysian banknotes. Image acquisition …
processing techniques to detect counterfeit Malaysian banknotes. Image acquisition …