Multi-Modal Data Fusion for Person Authentication using SVM

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.


Published in:
Proc. Second International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA'99), 25-30
Presented at:
Proc. Second International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA'99)
Year:
1999
Keywords:
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

External links:
Download fulltextURL
Download fulltextRelated documents
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)