Pattern recognition constraint network
US6122399A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Sep 4, 1997 |
| Grant date | Sep 19, 2000 |
| Priority date | — |
| Expiry date | Sep 4, 2017 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a novel pattern recognition system that may be used to determine the likelihood that an unknown item belongs to a predefined class. The present invention provides improved functionality over prior art systems in that both feature parameters and confidence parameters are trained automatically from ground truth image data; large numbers of different attributes can be analyzed in the model, which yields more accurate modeling; relationships between different features can also be trained from ground truth data and represented in parametric form; there is insensitivity to feature noise; parameters are based exclusively on statistical information; the need for heuristic information is minimized; retraining is straightforward and fast; on-line updating of model parameters is possible; and the models created are accurate and reliable at predicting the match of an unknown item to the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.