Name
Title | ||
|---|---|---|
Fusion Operators For Multi-Modal Biometric Authentication Based On Physiological Signals |
Abstract | ||
|---|---|---|
The most basic operators, like the sum and the product, have been used for data fusion in many application fields together with ordinal operators and the majority voting operator since the early stages of research. These application fields include biometrics, which constitutes the focus of the paper presented herein. All these operators have evolved into more advanced ones, particularly through the results of soft-computing and fuzzy operator research. However, these advances in state of the art have not been transfered to the different application fields. The presented work provides a comparison of different soft data fusion operators in a biometric application. Hence we analyze the performance of their application in a multimodal system, which takes into account two modalities based on physiological signals, electroencephalogram (EEG) and electrocardiogram (ECG). The analysis is done by evaluating the performance of five operators on a 29 subject database. The performance improvement due to the application of a soft data fusion stage is evaluated and demonstrated. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/FUZZY.2010.5584121 | 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) |
Keywords | Field | DocType |
Soft data fusion, fuzzy aggregation operators, biometry, multi-modal biometrics, physiological-based biometrics | Data mining,Computer science,Fuzzy logic,Sensor fusion,Robustness (computer science),Fuzzy set,Operator (computer programming),Soft computing,Biometrics,Performance improvement | Conference |
ISSN | Citations | PageRank |
1098-7584 | 1 | 0.37 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aureli Soria-Frisch | 1 | 83 | 11.13 |
| Alejandro Riera | 2 | 53 | 3.85 |
| Stephen Dunne | 3 | 15 | 3.19 |