Daramola, S. A. and Adefuminiyi, Morakinyo A. and John, Temitope M. (2016) Online Signature for Attendance Verification System using Levenberg-Marquardt Neural Network. In: World Congress on Engineering, June 29 - July 1, 2016, London, U.K..
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Abstract
This work focuses on the application of Levenberg-Marquardt based Back-propagation Neural Network for training features extracted from online signature images. In implementing this, the description of Levenberg-Marquardt back-propagation Neural Network is given. This is followed by signature image processing stages needed to produce input data for the training algorithm. Signature attendance system based on the trained network was developed and tested with data collected from fifty (50) classes. The False Acceptance Rate (FAR) and False Rejection Rate (FRR) were also calculated to give 8% and 12% respectively
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Verification, Online Signature, Levenberg-Marquardt, Neural Network, Attendance. |
| 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 09:02 |
| Last Modified: | 28 Sep 2017 09:02 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/9441 |
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