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SYSTEM AND METHOD FOR RAPIDLY LOCATING IRIS USING DEEP LEARNING

机译:利用深度学习快速定位虹膜的系统和方法

摘要

A system and method for rapidly locating iris using deep learning. The system consists of a lighting unit, an image capture module and a controlling and processing module. Particularly, there are an eye pattern determining unit, an inner boundary estimating unit and an outer boundary estimating unit provided in the controlling and processing module. The eye pattern determining unit is used for determining an eye candidate region from an eye image frame, and the inner boundary estimating unit and the outer boundary estimating unit are configured for respectively determining an inner boundary and an outer boundary of an iris. Moreover, experimental data have proved that, the system of the present invention is able to find out and locate an iris region from an image frame containing an eye pattern within 0.06 seconds by an accuracy of at least 95.49%.
机译:一种使用深度学习快速定位虹膜的系统和方法。该系统由照明单元,图像捕获模块以及控制和处理模块组成。特别地,在控制和处理模块中设置有眼图确定单元,内边界估计单元和外边界估计单元。眼睛图案确定单元用于从眼睛图像帧确定眼睛候选区域,并且内部边界估计单元和外部边界估计单元被配置为分别确定虹膜的内部边界和外部边界。此外,实验数据已经证明,本发明的系统能够在0.06秒内从包含眼图的图像帧中找出并定位虹膜区域,其准确度至少为95.49%。

著录项

  • 公开/公告号US2020327304A1

    专利类型

  • 公开/公告日2020-10-15

    原文格式PDF

  • 申请/专利权人 YUNG-HUI LI;

    申请/专利号US201916405147

  • 发明设计人 YUNG-HUI LI;

    申请日2019-05-07

  • 分类号G06K9;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 11:26:13

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