Method for extracting a feature vector from an input image representative of an iris by means of an end-to-end trainable neural network
US11263437B2 · kind B2 · utility
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Key dates
| Filing date | Jul 7, 2020 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Jul 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to a method for extracting a feature vector from an input image representative of an iris by means of a neural network, characterized in that it can be trained end-to-end and comprises the implementation by data-processing means of a client of steps of:
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.