Authentication method and apparatus with transformation model
AssigneesSamsung Electronics Co., Ltd., Snu R&Db Foundation
InventorsSeungju Han, Jaejoon Han, Minsu Ko, Chang Kyu Choi, Bohyung Han
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Abstract
An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.
Claims20
A processor implemented authentication method, comprising:
- obtaining a second enrolled feature, the second enrolled feature having been generated by transforming a first enrolled feature to the second enrolled feature, the first enrolled feature having been extracted from a first input data by a first feature extractor comprising a first neural network;
- determining an input feature by extracting a feature from a second input data with a second feature extractor comprising a second neural network different from the first neural network;
- and
- performing an authentication based on the second enrolled feature and the input feature.
An authentication apparatus comprising:
- one or more processors configured to:
- obtain a second enrolled feature transformed from a first enrolled feature, wherein the first enrolled feature was extracted from an enrollment image based on a first feature extractor comprising a first neural network;
- extract an input feature from an authentication image with a second feature extractor comprising a second neural network, wherein the first enrolled feature is transformed to the second enrolled feature based on a difference between the first neural network and the second neural network;
- and
- perform an authentication based on the second enrolled feature and the input feature.
A method performed by a computing device, the method comprising:
- extracting a first enrollment feature set from an enrollment image using a first feature extraction model, and storing the first enrollment feature set;
- using the first feature extraction model to extract a first authentication feature set from a first authentication image and performing a first authentication based on the stored first enrollment feature set and the first authentication feature set;
- using a second feature extraction model to extract a second feature set from a second authentication image;
- transforming the stored first enrollment feature set to a second enrollment feature set based on a transformation model that corresponds to difference between the first feature extraction model and the second feature extraction model;
- and
- performing a second authentication based on the second enrollment feature set and the second authentication feature set.
Dependencies are inferred from the claim text.