MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People
With the proliferation of smartphones and advancements in deep learning technologies, object recognition using built-in smartphone cameras has become possible. One application of this technology is to assist visually impaired individuals through the banknote detection of multiple national currencies...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/11/6/1392 |
| _version_ | 1827748874150739968 |
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| author | Chanhum Park Kang Ryoung Park |
| author_facet | Chanhum Park Kang Ryoung Park |
| author_sort | Chanhum Park |
| collection | DOAJ |
| description | With the proliferation of smartphones and advancements in deep learning technologies, object recognition using built-in smartphone cameras has become possible. One application of this technology is to assist visually impaired individuals through the banknote detection of multiple national currencies. Previous studies have focused on single-national banknote detection; in contrast, this study addressed the practical need for the detection of banknotes of any nationality. To this end, we propose a multinational banknote detection model (MBDM) and a method for multinational banknote detection based on mosaic data augmentation. The effectiveness of the MBDM is demonstrated through evaluation on a Korean won (KRW) banknote and coin database built using a smartphone camera, a US dollar (USD) and Euro banknote database, and a Jordanian dinar (JOD) database that is an open database. The results show that the MBDM achieves an accuracy of 0.8396, a recall value of 0.9334, and an F1 score of 0.8840, outperforming state-of-the-art methods. |
| first_indexed | 2024-03-11T06:13:03Z |
| format | Article |
| id | doaj.art-19c4a9c931784702a0ce43f6b1d958a6 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T06:13:03Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-19c4a9c931784702a0ce43f6b1d958a62023-11-17T12:27:56ZengMDPI AGMathematics2227-73902023-03-01116139210.3390/math11061392MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired PeopleChanhum Park0Kang Ryoung Park1Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu, Seoul 04620, Republic of KoreaDivision of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu, Seoul 04620, Republic of KoreaWith the proliferation of smartphones and advancements in deep learning technologies, object recognition using built-in smartphone cameras has become possible. One application of this technology is to assist visually impaired individuals through the banknote detection of multiple national currencies. Previous studies have focused on single-national banknote detection; in contrast, this study addressed the practical need for the detection of banknotes of any nationality. To this end, we propose a multinational banknote detection model (MBDM) and a method for multinational banknote detection based on mosaic data augmentation. The effectiveness of the MBDM is demonstrated through evaluation on a Korean won (KRW) banknote and coin database built using a smartphone camera, a US dollar (USD) and Euro banknote database, and a Jordanian dinar (JOD) database that is an open database. The results show that the MBDM achieves an accuracy of 0.8396, a recall value of 0.9334, and an F1 score of 0.8840, outperforming state-of-the-art methods.https://www.mdpi.com/2227-7390/11/6/1392deep learningmosaic augmentationmultinational banknote detecting modelsmartphone cameravisually impaired people |
| spellingShingle | Chanhum Park Kang Ryoung Park MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People Mathematics deep learning mosaic augmentation multinational banknote detecting model smartphone camera visually impaired people |
| title | MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People |
| title_full | MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People |
| title_fullStr | MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People |
| title_full_unstemmed | MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People |
| title_short | MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People |
| title_sort | mbdm multinational banknote detecting model for assisting visually impaired people |
| topic | deep learning mosaic augmentation multinational banknote detecting model smartphone camera visually impaired people |
| url | https://www.mdpi.com/2227-7390/11/6/1392 |
| work_keys_str_mv | AT chanhumpark mbdmmultinationalbanknotedetectingmodelforassistingvisuallyimpairedpeople AT kangryoungpark mbdmmultinationalbanknotedetectingmodelforassistingvisuallyimpairedpeople |