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Win10面部、虹膜识别区别在哪里? - 站长搜索
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Win10面部、虹膜识别区别在哪里?

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2015-09-15 17:12:08 转载来源: 网络整理/侵权必删

Win10生物识别系统Windows Hello具有三种识别模式:面部、虹膜和指纹。对于指纹识别来说,很多老型号设备都具备这一能力,Windows Hello也能够利用已有设备进行识别

Win10生物识别系统Windows Hello具有三种识别模式:面部虹膜和指纹。对于指纹识别来说,很多老型号设备都具备这一能力,Windows Hello也能够利用已有设备进行识别。但对于面部识别和虹膜识别来说,很多用户都不是很了解。这两种识别方式究竟有什么特点?今天我们就共同了解一下。

▲Intel RealSense F200

面部识别

这项功能目前只能通过Intel RealSense F200实感摄像头实现,某些新型号的的笔记本电脑已经集成这款设备,2016年将有更多此类新品上市。这款设备由三部分组成:红外线模块、3D模块、普通摄像头。它不仅可以进行人脸识别,还可以用作指纹追踪、语音识别、增强现实以及背景分割研究等。

F200与微软体感设备Kinect比较相像,都具有3D图像扫描功能,用户可以通过F200“刷脸”登录Windows10。这款设备的工作距离在0.2米至1.2米之间,这可以让你比较自然的完成“刷脸”验证。

这种方法的效率要远高于传统密码登录方式,瞬间即可完成。而且安全性更高,省去了密码记忆的困难。文末有最新的Windows Hello人脸和指纹识别功能介绍视频,喜欢这项功能的朋友可点击观看。

虹膜识别

其实眼部可用于身份识别的常见技术至少有两种,分别为视网膜识别和虹膜识别。前者需要专业设备扫描眼睛后部的血管图案进行识别,特点是精度高,可靠性强,但设备要求也非常高。相比之下,虹膜识别就简单得多,只需要扫描眼睛前部的虹膜就可完成,普通相机/摄像头就可胜任。

理论上说,现有手机摄像头就可以完成识别功能,也就是说现有Windows Phone手机升级Win10 Mobile后无需添加或者改造硬件就可以使用虹膜识别,你需要等待的就是硬件厂商通过固件更新等方式在技术层面开启这项功能。如果摄像头要用于此类识别,需要使用一个发光二极管和光接收传感器。这些用于扫描虹膜的光通常为不可见光(近红外线),以便摄像头能够执行扫描过程。扫描可在低亮度(甚至是暗室)条件下进行,被扫描者可佩带清晰的隐形眼镜、传统眼镜以及不具有反光镜面的太阳镜。

从硬件层面来说,虹膜识别要比指纹识别更易推广,因为它所需要的普通摄像头已经非常普遍,而指纹识别还需要专用设备支持。和人脸识别相比,普通摄像头体积较小,一般来说相当于F200的一半。

不过在使用虹膜识别的时候,用户需要离摄像头近一些,以便摄像头能够捕捉到虹膜信息。正因为这个特点,它更适合用在手机上。最新的Lumia 950和Lumia 950 XL即将使用这项技术。

相比之下,虽然人脸识别更精准,更方便,但由于目前技术并不成熟,摄像头体积较大,不易整合到手机中,也许将来技术进步后可以考虑移植到手机上。(via:Windows Central)

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