Daramola, S. A. and Badejo, J. A. and Samuel, I. A. and Sokunbi, Tola (2013) Hand Image Feature for Human Identification. International Conference on Advances in Information Technology, 39. pp. 266-270.
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Abstract
This paper presents an algorithm for efficient personal identification using robust hand features. The feature is extracted from hand boundary points and print of hand palm. The centre of gravity of the edge map of the hand image is determined to serve as a reference point. Thereafter City block distances between the reference point and hand boundary points are found. These distance feature vectors are compared using Euclidean distance measure for effective image classification. The proposed algorithm will improve personal identification in access control and attendance record
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Hand image, Centre of gravity, Hand boundary, Euclidean distance |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 02 Sep 2016 11:16 |
| Last Modified: | 02 Sep 2016 11:16 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/7077 |
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