Multibiometric human recognition using 3D ear and face features
We present automatic extraction of local 3D features (L3DF) from ear and face biometrics and their combination at the feature and score levels for robust identification. To the best of our knowledge, this paper is the first to present feature level fusion of 3D features extracted from ear and fronta...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Pergamon Press
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/23034 |
| _version_ | 1848751038989860864 |
|---|---|
| author | Islam, Shams Davies, R. Bennamoun, M. Owens, R. Mian, A. |
| author_facet | Islam, Shams Davies, R. Bennamoun, M. Owens, R. Mian, A. |
| author_sort | Islam, Shams |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We present automatic extraction of local 3D features (L3DF) from ear and face biometrics and their combination at the feature and score levels for robust identification. To the best of our knowledge, this paper is the first to present feature level fusion of 3D features extracted from ear and frontal face data. Scores from L3DF based matching are also fused with iterative closest point algorithm based matching using a weighted sum rule. We achieve identification and verification (at 0.001 FAR) rates of 99.0% and 99.4%, respectively, with neutral and 96.8% and 97.1% with non-neutral facial expressions on the largest public databases of 3D ear and face. |
| first_indexed | 2025-11-14T07:46:23Z |
| format | Journal Article |
| id | curtin-20.500.11937-23034 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:46:23Z |
| publishDate | 2013 |
| publisher | Pergamon Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-230342017-09-13T13:57:03Z Multibiometric human recognition using 3D ear and face features Islam, Shams Davies, R. Bennamoun, M. Owens, R. Mian, A. 3D face multibiometric multimodal recognition local 3D surface features feature-level fusion score-level fusion We present automatic extraction of local 3D features (L3DF) from ear and face biometrics and their combination at the feature and score levels for robust identification. To the best of our knowledge, this paper is the first to present feature level fusion of 3D features extracted from ear and frontal face data. Scores from L3DF based matching are also fused with iterative closest point algorithm based matching using a weighted sum rule. We achieve identification and verification (at 0.001 FAR) rates of 99.0% and 99.4%, respectively, with neutral and 96.8% and 97.1% with non-neutral facial expressions on the largest public databases of 3D ear and face. 2013 Journal Article http://hdl.handle.net/20.500.11937/23034 10.1016/j.patcog.2012.09.016 Pergamon Press restricted |
| spellingShingle | 3D face multibiometric multimodal recognition local 3D surface features feature-level fusion score-level fusion Islam, Shams Davies, R. Bennamoun, M. Owens, R. Mian, A. Multibiometric human recognition using 3D ear and face features |
| title | Multibiometric human recognition using 3D ear and face features |
| title_full | Multibiometric human recognition using 3D ear and face features |
| title_fullStr | Multibiometric human recognition using 3D ear and face features |
| title_full_unstemmed | Multibiometric human recognition using 3D ear and face features |
| title_short | Multibiometric human recognition using 3D ear and face features |
| title_sort | multibiometric human recognition using 3d ear and face features |
| topic | 3D face multibiometric multimodal recognition local 3D surface features feature-level fusion score-level fusion |
| url | http://hdl.handle.net/20.500.11937/23034 |