Facial verification method and apparatus

    公开(公告)号:US11861937B2

    公开(公告)日:2024-01-02

    申请号:US16394285

    申请日:2019-04-25

    CPC classification number: G06V40/166 G06V40/171 G06V40/172

    Abstract: The facial verification apparatus is a mobile computing apparatus, including a camera to capture an image, a display, and one or more processors. While in a lock state, the image is captured and facial verification performed using a face image, or using a detected face and in response to the face being detected. The facial verification includes a matching with respect to the detected face, or obtained face image, and a registered face information. If the verification is successful, the lock state of the apparatus may be canceled and the user allowed access to the apparatus. The lock state may be cancelled when the verification is successful and the user has been determined to have been attempting to gain access to the apparatus. Face image feedback to the user may not be displayed during the detecting for, or obtaining of, the face and/or performing of the facial verification.

    Method and apparatus of performing authentication

    公开(公告)号:US11048785B2

    公开(公告)日:2021-06-29

    申请号:US16250276

    申请日:2019-01-17

    Abstract: A processor-implemented method of performing authentication includes obtaining a first biometric information of a user according to a first modality; calculating a first score based on the first biometric information; filtering the first score; determining whether the filtered first score satisfies a second condition; and selectively, based on a result of the determining, authenticating the user based on the first score and a first condition corresponding to the first modality. The second condition is different from the first condition.

    User authentication method and apparatus with adaptively updated enrollment database (DB)

    公开(公告)号:US10860700B2

    公开(公告)日:2020-12-08

    申请号:US15967898

    申请日:2018-05-01

    Abstract: A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.

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