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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tefas, A. Kotropoulos, C. Pitas, I. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece (Tefas, A.) |
| Abstract | A novel method for enhancing the performance of elastic graph matching in face authentication is proposed. Our objective is to weigh the local matching errors at the nodes of an elastic graph according to their discriminatory power. We propose a novel approach to discriminant analysis that re-formulates Fisher's linear discriminant ratio to a quadratic optimization problem subject to inequality constraints by combining statistical pattern recognition and support vector machines. The method is applied to frontal face authentication on the M2VTS database. |
| Starting Page | 29 |
| Ending Page | 32 |
| File Size | 400532 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362977 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2000.900884 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Authentication Testing Face recognition Constraint optimization Face detection Facial features Informatics Image databases Image processing |
| Content Type | Text |
| Resource Type | Article |
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