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....
| Main Authors: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2016
|
| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848784094005035008 |
|---|---|
| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:31:46Z |
| format | Proceeding Paper |
| id | iium-52643 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:31:46Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Automated bank note identification system for visually impaired subjects in Malaysia |
| title_sort | automated bank note identification system for visually impaired subjects in malaysia |
| topic | T Technology (General) |
| 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 |