Spatially-Configurable Localized Illumination for Biometric Authentication

    公开(公告)号:US20250156513A1

    公开(公告)日:2025-05-15

    申请号:US18838796

    申请日:2022-03-08

    Applicant: Google LLC

    Abstract: This document describes systems and techniques directed at spatially-configurable localized illumination for biometric authentication systems. In aspects, during biometric authentication, a biometric authentication system having a biometric authentication manager is configured to receive user input at a touch-sensitive display. Responsive to and based on the user input, the biometric authentication manager determines a shape of a contact area of the user input at the touch-sensitive display. Based on the determined shape, the biometric authentication manager alters a brightness of a region of the display to increase a reflection of light from the user input, effective to facilitate biometric authentication.

    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.

    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.

    Optical fingerprint system with varying integration times across pixels

    公开(公告)号:US11163970B1

    公开(公告)日:2021-11-02

    申请号:US16902979

    申请日:2020-06-16

    Applicant: Google LLC

    Abstract: Described is an optical fingerprint system with varying integration times across pixels. A sensor selects blocks of pixels contacted or covered by an input to a region of a display. While a matcher attempts to authenticate the input with first blocks of pixels captured by the sensor, the sensor captures additional blocks of pixels for subsequent authentication if the first blocks fail. With more time to integrate the light reflected off the input, each additional block of pixels include more detail than previously captured blocks. If authentication fails based on the first blocks, the matcher can reattempt authentication using the additional blocks without delay. Repeating this process enables the system to authenticate input using very large or high-resolution images while minimizing latency and power consumed to authenticate the input.

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