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DC Field | Value | Language |
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dc.contributor.author | Yinyeh, M. O. | - |
dc.date.accessioned | 2018-03-05T13:34:37Z | - |
dc.date.available | 2018-03-05T13:34:37Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/1702 | - |
dc.description | MASTER OF SCIENCE IN COMPUTATIONAL MATHEMATICS | en_US |
dc.description.abstract | This thesis presents the development of Biometric Electronic Voting System Software (BEVSS) for Ghana . To achieve an acceptable design and a successful implementation of BIometric Electronic Voting System , several local languages were taken into consideration during the development process to cater for the over forty (40%) percent of the population who are illiterates. These local languages were further recorded in audio format to aid the visually impaired to use the software in the electioneering process . This is to widen access , comprehension and to reduce the possibility of disenfranchising citizens who are illiterates or visually impaired. Many African countries have proposed electronic voting system for their national elections , this project as a case study for Ghana would be a pivotal reference to speeding up their implementation. Microsoft Visual Basic 2010 was used to develop the BEVSS at the front end and SQL Server Database at the backend. The BEVSS is integrated with a biometric fingerprint machine to scan the finger print of eligible voters during the registration process and for the authentication or verification on Election Day. The BEVSS would be implemented on personal computers over a Local Area Network at each polling station . The software was implemented for the Computer Science Students Association Election, and was successful. | en_US |
dc.language.iso | en | en_US |
dc.title | BIOMETRIC ELECTRONIC VOTING SOFTWARE FOR GHANA | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Faculty of Mathematical Sciences |
Files in This Item:
File | Description | Size | Format | |
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BIOMETRIC ELECTRONIC VOTING SOFTWARE FOR GHANA.pdf | 15.36 MB | Adobe PDF | View/Open |
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