Electronic device for iris recognition and operating method thereof

    公开(公告)号:US10740604B2

    公开(公告)日:2020-08-11

    申请号:US15838869

    申请日:2017-12-12

    Abstract: An electronic device for iris recognition and an operating method thereof are provided. The electronic device includes a housing including a first surface, a display exposed through a first region of the first surface, a light emitting unit comprising light emitting circuitry disposed in a second region of the first surface, an image device comprising image acquiring circuitry disposed in a third region of the first surface, at least one processor disposed within the housing and electrically connected with the display, the light emitting unit and the image device, and a memory disposed within the housing and electrically connected with the at least one processor. The memory stores instructions that, when executed by the processor, cause the electronic device to store a reference template based on a first iris image which has been recognized using the light emitting unit and the image device, to authenticate a second iris image which has been recognized using the light emitting unit and the image device, using the stored reference template, and to store a template of the second iris image succeeded in authentication, as an additional template.

    OPTICAL PROXIMITY CORRECTION (OPC) METHOD, AND METHODS OF MANUFACTURING MASK USING THE OPC METHOD

    公开(公告)号:US20240280891A1

    公开(公告)日:2024-08-22

    申请号:US18111785

    申请日:2023-02-20

    CPC classification number: G03F1/36 G03F1/84

    Abstract: Provided are an optical proximity correction (OPC) method capable of addressing the limitations of patterning and improving the reliability of patterning, and a mask manufacturing method using the OPC method. In the OPC method, a rectangular mask layout for a target pattern is created, the edge of the rectangular mask layout is dissected into segments, a first shape variable point is created, and a second shape variable point is created by shifting the first shape variable point on a rounded target pattern. Thereafter, a curvilinear mask layout is created based on the second shape variable point, a contour is extracted based on the curvilinear mask layout, an edge placement error (EPE) is determined, and the operations are repeated according to a predetermined criterion, thereby realizing a mask layout with minimal EPEs.

    Full-chip cell critical dimension correction method and method of manufacturing mask using the same

    公开(公告)号:US12282249B2

    公开(公告)日:2025-04-22

    申请号:US17859288

    申请日:2022-07-07

    Abstract: A full-chip cell critical dimension (CD) correction method and a method of manufacturing a mask by using the same are provided. The full-chip cell CD correction method includes receiving a database (DB) about a full-shot; analyzing a hierarchy of the DB; generating a density map of a full-chip by using the DB and converting the density map into a retarget rule table, the converting including mapping the density map by using a density rule; reconfiguring cell blocks of the full-chip into an optical proximity correction (OPC) target cell layout for OPC; applying a first bias to the OPC target cell layout, based on the retarget rule table; and generating an optical proximity corrected (OPC'ed) layout for the full-chip by performing hierarchical OPC.

    Electronic device for biometrics and method thereof

    公开(公告)号:US11645373B2

    公开(公告)日:2023-05-09

    申请号:US17130098

    申请日:2020-12-22

    CPC classification number: G06F21/32 G06V40/168 G06V40/172

    Abstract: Certain embodiments provide a biometric recognition apparatus and a method for lowering false recognition rate of biometric information in an electronic device adopting biometric recognition technology. In doing so, the electronic device may store first feature values extracted at M-ary feature points from owner biometric information, and additionally store auxiliary biometric information from a biometric information stored in one or more memories or an external server. The electronic device may perform biometric recognition on input biometric information using the first feature values and second feature values extracted from the biometric information additionally stored.

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