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Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor
Banknote papers are automatically recognized and classified in various machines, such as vending machines, automatic teller machines (ATM), and banknote-counting machines. Previous studies on automatic classification of banknotes have been based on the optical characteristics of banknote papers. On...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813903/ https://www.ncbi.nlm.nih.gov/pubmed/26959022 http://dx.doi.org/10.3390/s16030328 |
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author | Pham, Tuyen Danh Park, Young Ho Kwon, Seung Yong Park, Kang Ryoung Jeong, Dae Sik Yoon, Sungsoo |
author_facet | Pham, Tuyen Danh Park, Young Ho Kwon, Seung Yong Park, Kang Ryoung Jeong, Dae Sik Yoon, Sungsoo |
author_sort | Pham, Tuyen Danh |
collection | PubMed |
description | Banknote papers are automatically recognized and classified in various machines, such as vending machines, automatic teller machines (ATM), and banknote-counting machines. Previous studies on automatic classification of banknotes have been based on the optical characteristics of banknote papers. On each banknote image, there are regions more distinguishable than others in terms of banknote types, sides, and directions. However, there has been little previous research on banknote recognition that has addressed the selection of distinguishable areas. To overcome this problem, we propose a method for recognizing banknotes by selecting more discriminative regions based on similarity mapping, using images captured by a one-dimensional visible light line sensor. Experimental results with various types of banknote databases show that our proposed method outperforms previous methods. |
format | Online Article Text |
id | pubmed-4813903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48139032016-04-06 Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor Pham, Tuyen Danh Park, Young Ho Kwon, Seung Yong Park, Kang Ryoung Jeong, Dae Sik Yoon, Sungsoo Sensors (Basel) Article Banknote papers are automatically recognized and classified in various machines, such as vending machines, automatic teller machines (ATM), and banknote-counting machines. Previous studies on automatic classification of banknotes have been based on the optical characteristics of banknote papers. On each banknote image, there are regions more distinguishable than others in terms of banknote types, sides, and directions. However, there has been little previous research on banknote recognition that has addressed the selection of distinguishable areas. To overcome this problem, we propose a method for recognizing banknotes by selecting more discriminative regions based on similarity mapping, using images captured by a one-dimensional visible light line sensor. Experimental results with various types of banknote databases show that our proposed method outperforms previous methods. MDPI 2016-03-04 /pmc/articles/PMC4813903/ /pubmed/26959022 http://dx.doi.org/10.3390/s16030328 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pham, Tuyen Danh Park, Young Ho Kwon, Seung Yong Park, Kang Ryoung Jeong, Dae Sik Yoon, Sungsoo Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor |
title | Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor |
title_full | Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor |
title_fullStr | Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor |
title_full_unstemmed | Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor |
title_short | Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor |
title_sort | efficient banknote recognition based on selection of discriminative regions with one-dimensional visible-light line sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813903/ https://www.ncbi.nlm.nih.gov/pubmed/26959022 http://dx.doi.org/10.3390/s16030328 |
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