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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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39913/1/EA18172_YONG_Thesis%20-%20Yong%20Ngee%20Mang.pdf |
| _version_ | 1796996149940322304 |
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| author | Yong, Ngee Mang |
| author_facet | Yong, Ngee Mang |
| author_sort | Yong, Ngee Mang |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T13:12:43Z |
| format | Undergraduates Project Papers |
| id | UMPir39913 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:12:43Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | UMPir399132024-01-08T10:29:49Z 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. |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/39913/1/EA18172_YONG_Thesis%20-%20Yong%20Ngee%20Mang.pdf |
| work_keys_str_mv | AT yongngeemang deeplearningbasedfakebanknotedetectionforthevisuallyimpairedpeopleusinglightimagescapturedbysmartphonecameras |