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 [BibTeX] [Marc21]
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 Ben-Yacoub, Souheil
Crossref by sby98c
Added by: [UNK]
Total mark: 0
Attachments
  • rr98-07.pdf
  • rr98-07.ps.gz
Notes