Offline handwriting individual recognition system and method based on three-dimensional dynamic features
US12039805B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Nov 29, 2019 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Jun 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides an offline handwriting individual recognition system and method. The method comprises: scanning the suspicious handwriting to obtain a first white light image and a first three-dimensional image, and scanning the sample handwriting to obtain a second white light image and a second three-dimensional image; pre-processing the first white light image and the second white light image to obtain a first pre-processed image and a second pre-processed image; extracting a first skeleton image and a second skeleton image from the first pre-processed image and the second pre-processed image; obtaining a first writing trajectory and a second writing trajectory according to the first skeleton image and the second skeleton image; extracting a first dynamic feature, a first three-dimensional feature, and a second dynamic feature, a second three-dimensional feature; processing to obtain a correlation coefficient, and obtaining an individual recognition result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.