Method on identifying indicia orientation and decoding indicia for machine vision systems

    公开(公告)号:US11995900B2

    公开(公告)日:2024-05-28

    申请号:US17524983

    申请日:2021-11-12

    CPC classification number: G06V20/63 G06F18/24137 G06N3/02 G06T7/60 G06T7/70

    Abstract: A method and system for performing indicia recognition includes obtaining, at an image sensor, an image of an object of interest and identifying at least one region of interest in the image. The region of interest contains one or more indicia indicative of the object of interest. The processor then determines positions of each region of interest and further determines a geometric shape based on the positions of each of the regions of interest. An orientation classification is identified for each region of interest is based on a respective position relative to the geometric shape for reach region of interest. The processor then identifies and performs one or more transformations for each region of interest, with each transformation determined by each regions respective orientation classification. The processor then performs indicia recognition on each of the one or more transformed regions of interest.

    METHOD ON IDENTIFYING INDICIA ORIENTATION AND DECODING INDICIA FOR MACHINE VISION SYSTEMS

    公开(公告)号:US20230154212A1

    公开(公告)日:2023-05-18

    申请号:US17524983

    申请日:2021-11-12

    CPC classification number: G06K9/3258 G06K9/6272 G06T7/70 G06T7/60 G06N3/02

    Abstract: A method and system for performing indicia recognition includes obtaining, at an image sensor, an image of an object of interest and identifying at least one region of interest in the image. The region of interest contains one or more indicia indicative of the object of interest. The processor then determines positions of each region of interest and further determines a geometric shape based on the positions of each of the regions of interest. An orientation classification is identified for each region of interest is based on a respective position relative to the geometric shape for reach region of interest. The processor then identifies and performs one or more transformations for each region of interest, with each transformation determined by each regions respective orientation classification. The processor then performs indicia recognition on each of the one or more transformed regions of interest.

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