Boosted features for face authentication
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 th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Trans Tech Publications
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36674/ http://psasir.upm.edu.my/id/eprint/36674/1/Boosted%20features%20for%20face%20authentication.pdf |
| _version_ | 1848848398319353856 |
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| author | Hanafi, Marsyita Wan Adnan, Wan Azizun |
| author_facet | Hanafi, Marsyita Wan Adnan, Wan Azizun |
| author_sort | Hanafi, Marsyita |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T09:33:52Z |
| format | Article |
| id | upm-36674 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:33:52Z |
| publishDate | 2014 |
| publisher | Trans Tech Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-366742015-09-10T06:06:00Z http://psasir.upm.edu.my/id/eprint/36674/ Boosted features for face authentication Hanafi, Marsyita Wan Adnan, Wan Azizun 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. Trans Tech Publications 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36674/1/Boosted%20features%20for%20face%20authentication.pdf 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 http://www.scientific.net/AMM.666.276 10.4028/www.scientific.net/AMM.666.276 |
| spellingShingle | Hanafi, Marsyita Wan Adnan, Wan Azizun Boosted features for face authentication |
| title | Boosted features for face authentication |
| title_full | Boosted features for face authentication |
| title_fullStr | Boosted features for face authentication |
| title_full_unstemmed | Boosted features for face authentication |
| title_short | Boosted features for face authentication |
| title_sort | boosted features for face authentication |
| url | http://psasir.upm.edu.my/id/eprint/36674/ http://psasir.upm.edu.my/id/eprint/36674/ http://psasir.upm.edu.my/id/eprint/36674/ http://psasir.upm.edu.my/id/eprint/36674/1/Boosted%20features%20for%20face%20authentication.pdf |