BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data
Automated classification of banknotes is essential for financial security and e-transaction systems. Conventional manual authentication is time-consuming and error-prone, which necessitates automated systems. This article introduces BanglaNotes, a benchmark dataset for Bangladeshi banknote denominat...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925005785 |
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| author | Md. Naimul Islam Nuhash Sadia Akter |
| author_facet | Md. Naimul Islam Nuhash Sadia Akter |
| author_sort | Md. Naimul Islam Nuhash |
| collection | DOAJ |
| description | Automated classification of banknotes is essential for financial security and e-transaction systems. Conventional manual authentication is time-consuming and error-prone, which necessitates automated systems. This article introduces BanglaNotes, a benchmark dataset for Bangladeshi banknote denomination classification. The dataset contains 5073 images of Bangladeshi paper currency of nine denominations (2, 5, 10, 20, 50, 100, 200, 500, and 1000 BDT), with high quality and consistent representation. Every image in the dataset is labeled according to its denomination. The dataset is suitable for training and testing machine learning algorithms for currency classification and it supports research in financial automation and deep learning-based classification algorithms. It also offers a benchmark for developing robust algorithms for banknotes' real-life applications in banks, mobile payment systems, and ATMs. The dataset is publicly released to promote innovation and further research in banknote classification and recognition. |
| format | Article |
| id | doaj-art-b8b8688e814543bfb67e5eab95d1df18 |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-b8b8688e814543bfb67e5eab95d1df182025-08-20T03:18:20ZengElsevierData in Brief2352-34092025-08-016111185310.1016/j.dib.2025.111853BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley DataMd. Naimul Islam Nuhash0Sadia Akter1Corresponding authors.; Department of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka 1216, BangladeshDepartment of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka 1216, BangladeshAutomated classification of banknotes is essential for financial security and e-transaction systems. Conventional manual authentication is time-consuming and error-prone, which necessitates automated systems. This article introduces BanglaNotes, a benchmark dataset for Bangladeshi banknote denomination classification. The dataset contains 5073 images of Bangladeshi paper currency of nine denominations (2, 5, 10, 20, 50, 100, 200, 500, and 1000 BDT), with high quality and consistent representation. Every image in the dataset is labeled according to its denomination. The dataset is suitable for training and testing machine learning algorithms for currency classification and it supports research in financial automation and deep learning-based classification algorithms. It also offers a benchmark for developing robust algorithms for banknotes' real-life applications in banks, mobile payment systems, and ATMs. The dataset is publicly released to promote innovation and further research in banknote classification and recognition.http://www.sciencedirect.com/science/article/pii/S2352340925005785Bangladeshi banknotesMachine learningDeep learningComputer visionImage analysisTaka classification |
| spellingShingle | Md. Naimul Islam Nuhash Sadia Akter BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data Data in Brief Bangladeshi banknotes Machine learning Deep learning Computer vision Image analysis Taka classification |
| title | BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data |
| title_full | BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data |
| title_fullStr | BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data |
| title_full_unstemmed | BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data |
| title_short | BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data |
| title_sort | banglataka a dataset for classification of bangladeshi banknotesmendeley data |
| topic | Bangladeshi banknotes Machine learning Deep learning Computer vision Image analysis Taka classification |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925005785 |
| work_keys_str_mv | AT mdnaimulislamnuhash banglatakaadatasetforclassificationofbangladeshibanknotesmendeleydata AT sadiaakter banglatakaadatasetforclassificationofbangladeshibanknotesmendeleydata |