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Review and Proposed Methodology for a Lecture Attendance System using Neural Network

Daramola, S. A. and Adefuminiyi, Morakinyo A. and John, Temitope M. (2016) Review and Proposed Methodology for a Lecture Attendance System using Neural Network. In: World Congress on Engineering, June 29 - July 1, 2016, London, U.K..

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The place of verification and identification is increasingly important in this century even as technology all-over the world is tending towards E-Systems. These systems include evoting, e-commerce, e-banking among many others. To avoid impersonation, high security integrity can be achieved via verification and/or identification in the above highlighted eservices. In implementing the above stated verification and/ or identification process, certain unique human features are needed that are accessible and cannot be forged easily. This results in obtaining biometric features for authentication purposes. The verification method could be either online, offline or a hybrid system (combination of the two methods). This paper presents a review of online signature verification methods using image processing. These were effectively analyzed with relevant methodology proposed and conclusions drawn for a university lecture attendance system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Biometrics authentication, Verification, Identification, Online Signature, Neural Network.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 28 Sep 2017 09:06
Last Modified: 28 Sep 2017 09:06

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