基于人眼识别的可穿戴设备身份认证
发布时间：2018-08-08 13:46
【摘要】：针对可穿戴设备的特点,提出一种基于人眼识别的可穿戴设备身份认证方法。该身份认证方法包括两种认证模式:锁定认证模式主要针对可穿戴设备在锁定状态下,将静态人眼图像数据与模板数据进行匹配认证;操作认证模式主要针对可穿戴设备在特定操作状态下,将动态人眼图像数据与长期的眼动行为数据进行匹配认证。此方法有效利用可穿戴设备的方便采集人眼图像的物理特点,通过静态人眼图像与动态人眼图像的虹膜与行为识别,提高了身份认证的安全性与准确性。
[Abstract]:According to the characteristics of wearable devices, a wearable device identity authentication method based on human eye recognition is proposed. The identity authentication method includes two authentication modes: the locking authentication mode is mainly aimed at the wearable device in the locked state, the static human eye image data and the template data are matched and authenticated; The mode of operation authentication is mainly used to match the dynamic human eye image data with the long-term eye movement behavior data for wearable devices under specific operating conditions. This method effectively utilizes the physical characteristics of wearable devices to collect human eye images and improves the security and accuracy of identity authentication through the iris and behavior recognition of static human eye images and dynamic human eye images.
【作者单位】： 国家知识产权局专利局;
【分类号】：TP368.33;TP391.41
，
本文编号：2171970
[Abstract]:According to the characteristics of wearable devices, a wearable device identity authentication method based on human eye recognition is proposed. The identity authentication method includes two authentication modes: the locking authentication mode is mainly aimed at the wearable device in the locked state, the static human eye image data and the template data are matched and authenticated; The mode of operation authentication is mainly used to match the dynamic human eye image data with the long-term eye movement behavior data for wearable devices under specific operating conditions. This method effectively utilizes the physical characteristics of wearable devices to collect human eye images and improves the security and accuracy of identity authentication through the iris and behavior recognition of static human eye images and dynamic human eye images.
【作者单位】： 国家知识产权局专利局;
【分类号】：TP368.33;TP391.41
，
本文编号：2171970
本文链接：https://www.wllwen.com/kejilunwen/jisuanjikexuelunwen/2171970.html
