Electronic device performing fingerprint authentication and operation method thereof

    公开(公告)号:US11455821B2

    公开(公告)日:2022-09-27

    申请号:US17372942

    申请日:2021-07-12

    Abstract: An electronic device includes a touch panel that includes a plurality of row touch lines and a plurality of column touch lines, a touch driver that controls the plurality of row touch lines and the plurality of column touch lines to obtain secondary biometrics including touch profile information, first indicator information, and second indicator information associated with a fingerprint of a user being in contact with the touch panel, in a fingerprint sensing mode of the electronic device, a fingerprint sensor that obtains fingerprint information about the fingerprint of the user, in the fingerprint sensing mode of the electronic device, an authentication module that performs a fingerprint matching operation and an anti-spoofing operation based on the fingerprint information and the secondary biometrics to output an authentication result, and an application processor that performs a security operation based on the authentication result.

    IMAGE SIGNAL PROCESSOR, IMAGE SENSOR, AND OPERATING METHOD OF THE IMAGE SENSOR

    公开(公告)号:US20240163578A1

    公开(公告)日:2024-05-16

    申请号:US18388019

    申请日:2023-11-08

    CPC classification number: H04N25/68 H04N25/78

    Abstract: An image signal processor, an image sensor, and an operating method of the image sensor are provided. The image sensor may include a pixel array including a plurality of sensing pixels each configured to convert a received light signal into an electrical signal, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to correct bad pixels occurring in a first pixel group of the image data, based on a neural network, encode position information representing a position of at least one bad pixel of the bad pixels to generate position data, and provide the position data to a first middle layer of a plurality of layers included in the neural network.

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