ARTICLE sby99b/IDIAP Fusion of Face and Speech Data for Person Identity Verification Ben-Yacoub, Souheil Abdeljaoued, Yousri Mayoraz, Eddy EXTERNAL https://publications.idiap.ch/attachments/reports/1999/rr99-03.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/sby99a Related documents IEEE Transactions on Neural Networks 10 05 1065-1074 1999 Multi-modal person identity authentication is gaining more and more attention in the biometrics area. Combining different modalities increases the performance and robustness of identity authentication systems. The authentication problem is a binary classification problem. The fusion of different modalities can be therefore performed by binary classifiers. We propose to evaluate different binary classification schemes (SVM, MLP, C4.5, Fisher's linear discriminant, Bayesian classifier) on a large database (295 subjects) containing audio and video data. The identity authentication is based on two modalities: face and speech REPORT sby99a/IDIAP Fusion of Face and Speech Data for Person Identity Verification Ben-Yacoub, Souheil Abdeljaoued, Yousri Mayoraz, Eddy EXTERNAL https://publications.idiap.ch/attachments/reports/1999/rr99-03.pdf PUBLIC Idiap-RR-03-1999 1999 IDIAP Multi-modal person identity authentication is gaining more and more attention in the biometrics area. Combining different modalities increases the performance and robustness of identity authentication systems. The authentication problem is a binary classification problem. The fusion of different modalities can be therefore performed by binary classifiers. We propose to evaluate different binary classification schemes (SVM, MLP, C4.5, Fisher's linear discriminant, Bayesian classifier) on a large database (295 subjects) containing audio and video data. The identity authentication is based on two modalities: face and speech