Pattern recognition system and method using Gabor functions
US9058517B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2014 |
| Grant date | Jun 16, 2015 |
| Priority date | — |
| Expiry date | Apr 16, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A pattern recognition system and method which generates a feature vector by multiplying an image vector with a sparse matrix. The sparse matrix is generated from a Gabor function which is a sinusoidal wave multiplied by a Gaussian function. The Gabor function is a function of a set of parameters including a parameter related to the direction of the sinusoidal wave, a parameter related to a center of the Gabor function, and a parameter related to a wavelength of the sinusoidal wave. The wavelength takes at least two values, with a first wavelength value lower than or substantially equal to the distance between two adjacent centers of the Gabor function, and the first wavelength value is lower than a second wavelength value and higher than or substantially equal to half the second wavelength value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.