Face verification method and apparatus

    公开(公告)号:US10891466B2

    公开(公告)日:2021-01-12

    申请号:US16904635

    申请日:2020-06-18

    Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

    Neural network method and apparatus

    公开(公告)号:US10452977B2

    公开(公告)日:2019-10-22

    申请号:US15655203

    申请日:2017-07-20

    Abstract: A lightened neural network, method, and apparatus, and recognition method and apparatus implementing the same. A neural network includes a plurality of layers each comprising neurons and plural synapses connecting neurons included in neighboring layers. Synaptic weights with values greater than zero and less than a preset value of a variable a, which is greater than zero, may be at least partially set to zero. Synaptic weights with values greater than a preset value of a variable b, which is greater than zero, may be at least partially set to the preset value of the variable b.

    Fingerprint recognition-based control method and device

    公开(公告)号:US09954858B2

    公开(公告)日:2018-04-24

    申请号:US15064070

    申请日:2016-03-08

    CPC classification number: H04L63/0861 G06K9/00006 G06K9/00013

    Abstract: A fingerprint recognition-based control method may include acquiring sensor data with a fingerprint sensor. The sensor data may be acquired by the fingerprint sensor in response to a contact between a physical object and a sensing area of the fingerprint sensor. The method may further include receiving an input through a first input receiver from among one or more input receivers. The first input receiver may be located in a vicinity of the fingerprint sensor. The method may further include verifying the sensor data to be an input fingerprint; and sensing a motion of the physical object based on the acquired sensor data and the received input, in response to a positive result of the verifying.

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