Citation
Hanafi, Marsyita and Wan Adnan, Wan Azizun
(2014)
Boosted features for face authentication.
Applied Mechanics and Materials, 666.
pp. 276-281.
ISSN 1660-9336; ESSN: 1662-7482
Abstract
Boosted features developed using face signatures in combination with Gentle Adaboost algorithm offer alternative features for face authentication and face recognition. Face signatures are face representations extracted from Trace transform and Gentle Adaboost is used to enhance the performance of the features extracted from the face signatures. In this paper, we demonstrate the usefulness of the constructed features with experiments on BANCA database.
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Official URL or Download Paper: http://www.scientific.net/AMM.666.276
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.4028/www.scientific.net/AMM.666.276 |
| Publisher: | Trans Tech Publications |
| Keywords: | Adaboost; Face; Face signatures; Gentle Adaboost; Trace transform |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 26 May 2015 10:32 |
| Last Modified: | 10 Sep 2015 06:06 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4028/www.scientific.net/AMM.666.276 |
| URI: | http://psasir.upm.edu.my/id/eprint/36674 |
| Statistic Details: | View Download Statistic |
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