Constructing classification weights matrices for pattern recognition systems using reduced element feature subsets
US5479523A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 1994 |
| Grant date | Dec 26, 1995 |
| Priority date | — |
| Expiry date | Mar 16, 2014 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/211
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for constructing a classification weights matrix for a pattern recognition system are provided which enable large system feature sets to be reduced and yield at least the same level of performance achieved using the large feature set. Methods and apparatus are also described for determining (evaluating) the classification efficiency of selected subsets of a given feature set. Further aspects of the invention are directed to: (a) methods and apparatus for constructing reduced element classification weights matrices utilizing a genetic search process to find the subset having a maximum classification efficiency; and (b) pattern recognition systems (including, in particular, character identification systems), which utilize classifiers constructed in accordance with the aforementioned aspects of the invention to actually perform pattern recognition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.