Classification and authentication of identification documents using a convolutional neural network
US10410309B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2019 |
| Grant date | Sep 10, 2019 |
| Priority date | — |
| Expiry date | Feb 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/95
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.