Image verification method, medium, and apparatus using a kernel based discriminant analysis with a local binary pattern (LBP)
US7558763B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2006 |
| Grant date | Jul 7, 2009 |
| Priority date | — |
| Expiry date | Jul 15, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/467
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A image verification method, medium, and apparatus using a local binary pattern (LBP) discriminant technique. The verification method includes generating a kernel fisher discriminant analysis (KFDA) basis vector by using the LBP feature of an input image, obtaining a Chi square inner product by using the LBP feature of an image registered in advance and a kernel LBP feature and projecting to a KFDA basis vector, obtaining a Chi square inner product by using the LBP feature of a query image and a kernel LBP feature and projecting to a KFDA basis vector, and obtaining the similarity degree of the target image and the query image that are obtained as Chi square inner product results, and projected to the KFDA basis vector. According to the method, medium, and apparatus, the KFDA based LBP shows superior performance over conventional LBP, KFDA, and biometric experimentation environment (BEE) baseline algorithms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.