Name
Title | ||
|---|---|---|
Error exponent analysis of person identification based on fusion of dependent/independent modalities |
Abstract | ||
|---|---|---|
In this paper we analyze performance limits of multimodal biometric identification systems. We consider impact of the inter-modal dependencies oil the attainable probabilities of error and demonstrate that all expected performance gain from fusion of dependent modalities is significantly higher than in the case when one fuses independent signals. Finally, in order to demonstrate the efficiency of dependent modality fusion, we perform the problem analysis in the Gaussian formulation and show the performance enhancement versus the independent case. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1117/12.704138 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | Field | DocType |
probability of error,error exponent,biometrics | Modalities,Computer science,Error exponent,Fusion,Speech recognition,Gaussian,Biometrics,Fuse (electrical),Statistical power | Conference |
Volume | ISSN | Citations |
6505 | 0277-786X | 6 |
PageRank | References | Authors |
0.64 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| O. Koval | 1 | 128 | 15.81 |
| Sviatoslav Voloshynovskiy | 2 | 773 | 80.94 |
| Thierry Pun | 3 | 3553 | 290.95 |