Daramola, S. A. and Ajayi, Olujimi and Odu, Tiwalade (2014) Robust Palm-Print Feature for Human Identification. International Journal of Engineering and Advanced Technology, 3 (4). pp. 152-155. ISSN 2249 – 8958
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Abstract
Palm-print is a unique biometric trait commonly uses to distinguish people. Identification of people with aid of machine is needed to solve insecurity challenges in our society. Human palm-print is a good raw material for machine based identification systems. These systems require strong predominate feature from palm-print for successful operation. In this work, a discriminate feature that can be used to differentiate people accurately is extracted from palm-print image. Edge detected palm-print image is sliced into smaller image blocks through centre points thereafter robust feature vector is generated from these smaller image blocks. The new feature was experimental using feature plot and it is shown clearly that this feature will deliver excellent classification result.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Centre points, City block distance, Image blocks, Palm-print. |
| 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: | 03 Mar 2016 15:16 |
| Last Modified: | 03 Mar 2016 15:16 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/6343 |
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