Fusing multimodal biometrics with quality estimates via a bayesian belief network
US7747044B2 · kind B2 · utility
23Cited by
6References
26Claims
0Family size
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Key dates
| Filing date | Jan 22, 2007 |
| Grant date | Jun 29, 2010 |
| Priority date | — |
| Expiry date | Apr 30, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/29
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A Bayesian belief network-based architecture for multimodal biometric fusion is disclosed. Bayesian networks are a theoretically sound, probabilistic framework for information fusion. The architecture incorporates prior knowledge of each modality's capabilities, quality estimates for each sample, and relationships or dependencies between these variables. A global quality estimate is introduced to support decision making.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.