Method and apparatus for verifying user using multiple biometric verifiers

    公开(公告)号:US11790065B2

    公开(公告)日:2023-10-17

    申请号:US17240059

    申请日:2021-04-26

    CPC classification number: G06F21/32 H04L63/0861 H04L63/105 H04L2463/082

    Abstract: A user verification apparatus may perform user verification using multiple biometric verifiers. The user verification apparatus may set a termination stage of one or more biometric verifiers. Multiple biometric verifiers may be used to generate outputs, for which separate termination stages are set to establish a particular combination of set termination stages associated with the multiple biometric verifiers, and the user verification apparatus may fuse outputs of the biometric verifiers based on the particular combination of set termination stages. The user verification apparatus may verify a user based on a result of the fusing, and an unlocking command signal may be generated based on the verifying. The unlocking command signal may be generated to selectively grant access, to the verified user, to one or more elements of a device. The device may be a vehicle.

    OBJECT RECOGNITION APPARATUS AND OPERATION METHOD THEREOF

    公开(公告)号:US20220397391A1

    公开(公告)日:2022-12-15

    申请号:US17887924

    申请日:2022-08-15

    Abstract: An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.

    Method and apparatus with authentication and neural network training

    公开(公告)号:US11341365B2

    公开(公告)日:2022-05-24

    申请号:US16913205

    申请日:2020-06-26

    Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.

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