Automated bank note identification system for visually impaired subjects in Malaysia

Visually Impaired Malaysians find great difficulty in recognizing bank notes as there are no commercially available aid for her currency and not much research done in the area. A very low cost, high efficient system has been proposed to help visually impaired Malaysians identify her bank notes....

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Main Authors:	Funke Olanrewaju, Rashidah, Fajingbesi, Fawwaz Eniola, Mahmoud, Shaibo Mohammed M
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/52643/ http://irep.iium.edu.my/52643/ http://irep.iium.edu.my/52643/ http://irep.iium.edu.my/52643/1/52643.pdf http://irep.iium.edu.my/52643/2/52643-Automated%20Bank%20Note%20Identification%20System%20for%20Visually%20Impaired%20Subjects%20in%20Malaysia_SCOPUS.pdf

id	iium-52643
recordtype	eprints
spelling	iium-526432017-03-29T02:24:02Z http://irep.iium.edu.my/52643/ Automated bank note identification system for visually impaired subjects in Malaysia Funke Olanrewaju, Rashidah Fajingbesi, Fawwaz Eniola Mahmoud, Shaibo Mohammed M T Technology (General) Visually Impaired Malaysians find great difficulty in recognizing bank notes as there are no commercially available aid for her currency and not much research done in the area. A very low cost, high efficient system has been proposed to help visually impaired Malaysians identify her bank notes. This system is built around the unique color of her bank note. The system features a sound module, color sensor module and a microcontroller module. These three module offer the system a unique ability to identify Malaysian bank currency and produce audible sound of the currencies’ denomination. The efficiency of the proposed solution has been properly tested on a dataset composed of consecutive randomized banknotes including both positive images (Malaysian banknotes) and negative images (Non Malaysian banknotes and plain color notes) collected under a variety of conditions. The proposed algorithm, achieves overall efficiency of 94.17% recognition rate. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/52643/1/52643.pdf application/pdf en http://irep.iium.edu.my/52643/2/52643-Automated%20Bank%20Note%20Identification%20System%20for%20Visually%20Impaired%20Subjects%20in%20Malaysia_SCOPUS.pdf Funke Olanrewaju, Rashidah and Fajingbesi, Fawwaz Eniola and Mahmoud, Shaibo Mohammed M (2016) Automated bank note identification system for visually impaired subjects in Malaysia. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7808294/ 10.1109/ICCCE.2016.36
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Funke Olanrewaju, Rashidah Fajingbesi, Fawwaz Eniola Mahmoud, Shaibo Mohammed M Automated bank note identification system for visually impaired subjects in Malaysia
description	Visually Impaired Malaysians find great difficulty in recognizing bank notes as there are no commercially available aid for her currency and not much research done in the area. A very low cost, high efficient system has been proposed to help visually impaired Malaysians identify her bank notes. This system is built around the unique color of her bank note. The system features a sound module, color sensor module and a microcontroller module. These three module offer the system a unique ability to identify Malaysian bank currency and produce audible sound of the currencies’ denomination. The efficiency of the proposed solution has been properly tested on a dataset composed of consecutive randomized banknotes including both positive images (Malaysian banknotes) and negative images (Non Malaysian banknotes and plain color notes) collected under a variety of conditions. The proposed algorithm, achieves overall efficiency of 94.17% recognition rate.
format	Conference or Workshop Item
author	Funke Olanrewaju, Rashidah Fajingbesi, Fawwaz Eniola Mahmoud, Shaibo Mohammed M
author_facet	Funke Olanrewaju, Rashidah Fajingbesi, Fawwaz Eniola Mahmoud, Shaibo Mohammed M
author_sort	Funke Olanrewaju, Rashidah
title	Automated bank note identification system for visually impaired subjects in Malaysia
title_short	Automated bank note identification system for visually impaired subjects in Malaysia
title_full	Automated bank note identification system for visually impaired subjects in Malaysia
title_fullStr	Automated bank note identification system for visually impaired subjects in Malaysia
title_full_unstemmed	Automated bank note identification system for visually impaired subjects in Malaysia
title_sort	automated bank note identification system for visually impaired subjects in malaysia
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/52643/ http://irep.iium.edu.my/52643/ http://irep.iium.edu.my/52643/ http://irep.iium.edu.my/52643/1/52643.pdf http://irep.iium.edu.my/52643/2/52643-Automated%20Bank%20Note%20Identification%20System%20for%20Visually%20Impaired%20Subjects%20in%20Malaysia_SCOPUS.pdf
first_indexed	2023-09-18T21:14:33Z
last_indexed	2023-09-18T21:14:33Z
_version_	1777411475246153728

Automated bank note identification system for visually impaired subjects in Malaysia

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