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Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras

Automatic recognition of face banknotes is an important task in practical banknote handling. Research on this task has mostly involved methods applied to automatic sorting machines with multiple imaging sensors or that use specialized sensors for capturing banknote images in various light wavelength...

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Main Author: Yong, Ngee Mang
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39913/1/EA18172_YONG_Thesis%20-%20Yong%20Ngee%20Mang.pdf
http://umpir.ump.edu.my/id/eprint/39913/
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spelling my.ump.umpir.399132024-01-08T10:29:49Z http://umpir.ump.edu.my/id/eprint/39913/ Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras Yong, Ngee Mang TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Automatic recognition of face banknotes is an important task in practical banknote handling. Research on this task has mostly involved methods applied to automatic sorting machines with multiple imaging sensors or that use specialized sensors for capturing banknote images in various light wavelengths. However, they require specialized devices. Meanwhile, smartphones are becoming more popular and can be useful imaging devices. This project will investigate and propose the best method for classifying fake and genuine banknotes using visible-light images captured by smartphone cameras based on convolutional neural networks. This project will focus on Malaysia banknotes only. Finally, the result of precision, recall and loss for this project are 0.849, 0.971 and 0.011586. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39913/1/EA18172_YONG_Thesis%20-%20Yong%20Ngee%20Mang.pdf Yong, Ngee Mang (2022) Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras. College of Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Yong, Ngee Mang
Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras
description Automatic recognition of face banknotes is an important task in practical banknote handling. Research on this task has mostly involved methods applied to automatic sorting machines with multiple imaging sensors or that use specialized sensors for capturing banknote images in various light wavelengths. However, they require specialized devices. Meanwhile, smartphones are becoming more popular and can be useful imaging devices. This project will investigate and propose the best method for classifying fake and genuine banknotes using visible-light images captured by smartphone cameras based on convolutional neural networks. This project will focus on Malaysia banknotes only. Finally, the result of precision, recall and loss for this project are 0.849, 0.971 and 0.011586.
format Undergraduates Project Papers
author Yong, Ngee Mang
author_facet Yong, Ngee Mang
author_sort Yong, Ngee Mang
title Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras
title_short Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras
title_full Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras
title_fullStr Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras
title_full_unstemmed Deep Learning-Based Fake-Banknote Detection for The Visually Impaired People Using Light Images Captured by Smartphone Cameras
title_sort deep learning-based fake-banknote detection for the visually impaired people using light images captured by smartphone cameras
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39913/1/EA18172_YONG_Thesis%20-%20Yong%20Ngee%20Mang.pdf
http://umpir.ump.edu.my/id/eprint/39913/
_version_ 1822924038274547712
score 13.232414

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