System and method for biometric-based authentication via CNN with linear activation and max pooling
US12265599B2 · kind B2 · utility
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Key dates
| Filing date | Sep 2, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | May 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/1365
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present teaching relates to method, system, medium, and implementations for biometric-based authentication. When an input image representing biometric information of a person to be authenticated is received, a feature vector of the input image is generated based on the biometric information captured in the input image via a convolution neural network (CNN) that is realized using one or more linear activation functions. The person is authenticated based on the feature vector in accordance with a biometric-based recognition model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.