Extended convolutional neural network for document analysis
US11151829B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 23, 2019 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | May 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2021/0106
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The invention refers to a computer-implemented method of analyzing security documents having visible information and at least one of infrared and ultraviolet detectable information, the method comprising the steps of: receiving visible-color data of a first set of pixels of a first region of the security document in a first image of the security document and feeding the visible-color data to a convolutional neural network, CNN; receiving infrared, IR, and/or ultraviolet, UV, data of a second and/or third set of pixels of a respective second and/or third region in a respective second and/or third image of the security document and feeding the IR and/or UV data to the CNN; analyzing the visible-color data of the first set of pixels using the CNN to extract characteristics of the security document from the visible information; and analyzing the IR and/or UV data of the second and/or third set of pixels using the CNN to extract characteristics of the security document from the IR and/or UV information. Further, a corresponding system is provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.