Neural networks for biometric recognition
US10956704B2 · kind B2 · utility
3Cited by
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20Claims
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Key dates
| Filing date | Nov 7, 2018 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Nov 19, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/15
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an encoder neural network having multiple encoder neural network parameters. The encoder neural network is configured to process a biometric data sample in accordance with current values of encoder neural network parameters to generate as output an embedded representation of the biometric data sample. The embedded representation includes: (i) an inter-class embedded representation, and (ii) an intra-class embedded representation that is different than the inter-class embedded representation.
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