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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bhagwat Keshav, S. Patil Pradeep, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Vidya Pratishthans, COE, Baramati, India (Bhagwat Keshav, S.; Patil Pradeep, M.) |
| Abstract | Person identification using Face and Texture is one of the biometric authentication technique. Today there are lots of face authentication techniques available in face biometrics, but that techniques have failed to achieve its full possibility in authentication due to a number of challenges. So because of that we thought Weighted Summation Fusion is to have the possibility for improving the human face authentication. Hence in this work we used Weighted Summation as Feature level fusion of 3D Shape and Texture for face authentication. Fusion functions are objectively best to model expression and illumination variations in invariant face authentication. In this work we performed experiments on the FRGC v2 data set. Fusion function has improved the face authentication performance. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1061454 |
| Page Count | 6 |
| File Format | |
| ISSN | 23479337 |
| e-ISBN | 9781479963935 |
| DOI | 10.1109/ICAETR.2014.7012872 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-01 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics (access control) Shape Noise Weighted Summation Feature level fusion Low level fusion Training 3-D face recognition Face Recognition Grand Challenge (FRGC v2) Robustness Face Multimodal biometrics Testing Principle Component Analysis (PCA) |
| Content Type | Text |
| Resource Type | Article |
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