Multi-Modal Data Fusion for Person Authentication using SVM
| Type of publication: | Idiap-RR |
| Citation: | sby98a |
| Number: | Idiap-RR-07-1998 |
| Year: | 1998 |
| Institution: | IDIAP |
| Abstract: | In the context of multi-modal person authentication, a set of experts (face recognizer, speaker recognizer, etc. ) give their opinion about the identity of an individual. The opinions of the experts can be combined to form a final decision (rejecting or accepting the claim). We show that the final decision is a binary classification problem and propose to solve it by a Support Vector Machine (SVM). We compare our approach with other proposed methods for an identical verification task and show that it leads to considerably higher performance. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Crossref by |
sby98c |
| Added by: | [UNK] |
| Total mark: | 0 |
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