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Dataset of Indian and Thai banknotes with annotations
Multinational banknote detection in real time environment is the open research problem for the research community. Several studies have been conducted for providing solution for fast and accurate recognition of banknotes, detection of counterfeit banknotes, and identification of damaged banknotes. T...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907680/ https://www.ncbi.nlm.nih.gov/pubmed/35282177 http://dx.doi.org/10.1016/j.dib.2022.108007 |
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author | Meshram, Vidula Patil, Kailas Chumchu, Prawit |
author_facet | Meshram, Vidula Patil, Kailas Chumchu, Prawit |
author_sort | Meshram, Vidula |
collection | PubMed |
description | Multinational banknote detection in real time environment is the open research problem for the research community. Several studies have been conducted for providing solution for fast and accurate recognition of banknotes, detection of counterfeit banknotes, and identification of damaged banknotes. The State-of art techniques like machine learning (ML) and deep learning (DL) are dominating the traditional methods of digital image processing technique used for banknote classification. The success of the ML or DL projects heavily depends on size and comprehensiveness of dataset used. The available datasets have the following limitations: 1. The size of existing Indian dataset is insufficient to train ML or DL projects [1], [2]. 2. The existing dataset fail to cover all denomination classes [1]. 3. The existing dataset does not consists of latest denomination [3]. 4. As per the literature survey there is no public open access dataset is available for Thai banknotes. To overcome all these limitations we have created a total 3000 image dataset of Indian and Thai banknotes which include 2000 images of Indian banknotes and 1000 images of Thai banknotes. Indian banknotes consist of old and new banknotes of 10, 20, 50, 100, 200, 500 and 2000 rupees and Thai banknotes consist of 20, 50, 100, 500 and 1000 Baht. |
format | Online Article Text |
id | pubmed-8907680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89076802022-03-11 Dataset of Indian and Thai banknotes with annotations Meshram, Vidula Patil, Kailas Chumchu, Prawit Data Brief Data Article Multinational banknote detection in real time environment is the open research problem for the research community. Several studies have been conducted for providing solution for fast and accurate recognition of banknotes, detection of counterfeit banknotes, and identification of damaged banknotes. The State-of art techniques like machine learning (ML) and deep learning (DL) are dominating the traditional methods of digital image processing technique used for banknote classification. The success of the ML or DL projects heavily depends on size and comprehensiveness of dataset used. The available datasets have the following limitations: 1. The size of existing Indian dataset is insufficient to train ML or DL projects [1], [2]. 2. The existing dataset fail to cover all denomination classes [1]. 3. The existing dataset does not consists of latest denomination [3]. 4. As per the literature survey there is no public open access dataset is available for Thai banknotes. To overcome all these limitations we have created a total 3000 image dataset of Indian and Thai banknotes which include 2000 images of Indian banknotes and 1000 images of Thai banknotes. Indian banknotes consist of old and new banknotes of 10, 20, 50, 100, 200, 500 and 2000 rupees and Thai banknotes consist of 20, 50, 100, 500 and 1000 Baht. Elsevier 2022-03-02 /pmc/articles/PMC8907680/ /pubmed/35282177 http://dx.doi.org/10.1016/j.dib.2022.108007 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Meshram, Vidula Patil, Kailas Chumchu, Prawit Dataset of Indian and Thai banknotes with annotations |
title | Dataset of Indian and Thai banknotes with annotations |
title_full | Dataset of Indian and Thai banknotes with annotations |
title_fullStr | Dataset of Indian and Thai banknotes with annotations |
title_full_unstemmed | Dataset of Indian and Thai banknotes with annotations |
title_short | Dataset of Indian and Thai banknotes with annotations |
title_sort | dataset of indian and thai banknotes with annotations |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907680/ https://www.ncbi.nlm.nih.gov/pubmed/35282177 http://dx.doi.org/10.1016/j.dib.2022.108007 |
work_keys_str_mv | AT meshramvidula datasetofindianandthaibanknoteswithannotations AT patilkailas datasetofindianandthaibanknoteswithannotations AT chumchuprawit datasetofindianandthaibanknoteswithannotations |