Method and computer program product for producing a pattern recognition training set
US7130776B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2002 |
| Grant date | Oct 31, 2006 |
| Priority date | — |
| Expiry date | Apr 18, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/214
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention recites a method and computer program product for generating a set of training samples from a single ideal pattern for each output class of a pattern recognition classifier. A system equivalent pattern is generated for each of a plurality of classes from a corresponding ideal pattern. A noise model, simulating at least one type of noise expected in a real-world classifier input pattern, is then applied to each system equivalent pattern a set number times to produce, for each output class, a number of training samples. Each training sample simulates defects expected in real-world classifier input patterns.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.