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作 者:许菲菲[1]
出 处:《网络空间安全》2016年第8期27-29,共3页Cyberspace Security
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。According to the characteristics of wearable devices, an identity authentication method for a wearable device based on human eyes recognition is proposed. The identity authentication method involves two types of authentication modes: under an authentication mode for locking, the static images data of human eyes are matched and authenticated with template data when the wearable device is locked; under an authentication mode for operating, the dynamic images data of human eyes are matched and authenticated with historical eye behavior data when the wearable device is under some certain operation states. The method effectively uses the physical characteristics of wearable devices and improves the security and correction of identity authentication by iris and behavior recognition of static and dynamic human eye images.
分 类 号:TP309.2[自动化与计算机技术—计算机系统结构]
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