Hardware acceleration of fingerprint data processing

    公开(公告)号:US11995884B1

    公开(公告)日:2024-05-28

    申请号:US18209154

    申请日:2023-06-13

    Applicant: Google LLC

    Abstract: A method includes identifying, within an image that represents a fingerprint, a plurality of keypoints. The method also includes determining a plurality of pixel vectors by transforming, for each respective keypoint, a corresponding two-dimensional (2D) array of pixel values associated with the respective keypoint into a corresponding pixel vector, and obtaining a plurality of filter vectors that represent, for each respective filter of a plurality of filters, a transformation of a corresponding 2D array of filter values of the respective filter into a corresponding filter vector. The method additionally includes convolving the plurality of keypoints with the plurality of filters by multiplying, using a tensor processing hardware, a pixel matrix formed by the plurality of pixel vectors and a filter matrix formed by the plurality of filter vectors, and determining, based on the convolving, a representation of the fingerprint.

    Trust agents
    3.
    发明授权

    公开(公告)号:US11693974B2

    公开(公告)日:2023-07-04

    申请号:US17353701

    申请日:2021-06-21

    Applicant: Google LLC

    CPC classification number: G06F21/577 G06F21/31 G06F2221/034 G06F2221/2111

    Abstract: Systems and techniques are provided for trust agents. Trust agents may be enabled. A state determination may be received from each of the enabled trust agents. The state determination may indicate either a trusted state or an untrusted state. The received state determinations may be combined to determine a security state. A security measure may be enabled or disabled based on the determined security state.

    Adaptive Fingerprint-Enrollment to Finger Characteristics Using Local Under-Display Fingerprint Sensor in an Electronic Device

    公开(公告)号:US20240193985A1

    公开(公告)日:2024-06-13

    申请号:US18556256

    申请日:2021-04-23

    Applicant: GOOGLE LLC

    CPC classification number: G06V40/1318 G06V40/1335

    Abstract: This document describes methods and systems of adaptive fingerprint-enrollment to finger characteristics using local under-display fingerprint sensors, UDFPS, in an electronic device. The electronic device includes an adaptive-enrollment module that determines characteristics of a fingerprint based on information corresponding to a touch input detected by a touch-display device, including size and shape of an area of the touch input. Based on the fingerprint characteristics, a number and location of enrollment touches used for completing enrollment of the fingerprint are adjusted to minimize the number of enrollment touches required to complete the enrollment, minimize the amount of time needed to complete the enrollment, and maximize coverage of the fingerprint. The adaptive-enrollment module also provides visual guidance to guide the user to touch the adjusted locations of the enrollment touches and, if needed, feedback to instruct the user to adjust the location of their finger to align with the visual guidance.

    Trust Agents
    5.
    发明申请
    Trust Agents 审中-公开

    公开(公告)号:US20200050771A1

    公开(公告)日:2020-02-13

    申请号:US16659730

    申请日:2019-10-22

    Applicant: Google LLC

    Abstract: Systems and techniques are provided for trust agents. Trust agents may be enabled. A state determination may be received from each of the enabled trust agents. The state determination may indicate either a trusted state or an untrusted state. The received state determinations may be combined to determine a security state. A security measure may be enabled or disabled based on the determined security state.

    Adaptive fingerprint-enrollment to finger characteristics using local under-display fingerprint sensor in an electronic device

    公开(公告)号:US12175790B2

    公开(公告)日:2024-12-24

    申请号:US18556256

    申请日:2021-04-23

    Applicant: Google LLC

    Abstract: This document describes methods and systems of adaptive fingerprint-enrollment to finger characteristics using local under-display fingerprint sensors, UDFPS, in an electronic device. The electronic device includes an adaptive-enrollment module that determines characteristics of a fingerprint based on information corresponding to a touch input detected by a touch-display device, including size and shape of an area of the touch input. Based on the fingerprint characteristics, a number and location of enrollment touches used for completing enrollment of the fingerprint are adjusted to minimize the number of enrollment touches required to complete the enrollment, minimize the amount of time needed to complete the enrollment, and maximize coverage of the fingerprint. The adaptive-enrollment module also provides visual guidance to guide the user to touch the adjusted locations of the enrollment touches and, if needed, feedback to instruct the user to adjust the location of their finger to align with the visual guidance.

    Trust agents
    8.
    发明授权

    公开(公告)号:US10783255B2

    公开(公告)日:2020-09-22

    申请号:US16375219

    申请日:2019-04-04

    Applicant: Google LLC

    Abstract: Systems and techniques are provided for trust agents. Trust agents may be enabled. A state determination may be received from each of the enabled trust agents. The state determination may indicate either a trusted state or an untrusted state. The received state determinations may be combined to determine a security state. A security measure may be enabled or disabled based on the determined security state.

    Grid-based enrollment for face authentication

    公开(公告)号:US12217536B2

    公开(公告)日:2025-02-04

    申请号:US17766688

    申请日:2019-12-05

    Applicant: Google LLC

    Abstract: This document describes techniques and systems that enable grid-based enrollment for face authentication. The techniques and systems include overlaying a three-dimensional (3D) tracking window over a preview image of the user's face displayed via a display device. The 3D tracking window includes a plurality of segments, which persist to correspond to an approximate direction that the user's face is facing. Based on the tracking, segments are highlighted to indicate the approximate direction that the user's face is facing, a camera captures enrollment images of the user's face facing that direction, and embeddings are generated based on the enrollment images and stored in a fixed grid of pose cells corresponding to various facial poses for use in face authentication. Responsive to generation and storage of the embeddings, an indication that the one or more segments are completed is provided.

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