公开(公告)号：US20160342851A1

公开(公告)日：2016-11-24

申请号：US14719654

申请日：2015-05-22

Applicant: YAHOO! INC.

Inventor： Christian Holz ,  Miteshkumar Patel ,  Senaka Wimal Buthpitiya

IPC: G06K9/00 ,  G06K9/46

CPC classification number: G06K9/00906 ,  G06K9/00288 ,  G06K9/00892

Abstract: Disclosed are systems and methods for improving interactions with and between computers in an authentication system supported by or configured with authentication servers or platforms. The systems interact to identify access and retrieve data across platforms, which data can be used to improve the quality of results data used in processing interactions between or among processors in such systems. The disclosed anti-spoofing systems and methods provide improved functionality to facial recognition systems by enabling enhanced “spoof” (or attempts to impersonate a user) detection while authenticating a user. The disclosed systems and method provide additional functionality to existing facial recognition systems that enables such systems to actually determine whether the image being captured and/or recorded is that of an actual person, as opposed to a non-human representation.

Abstract translation: 公开了用于改进由认证服务器或平台支持或配置的认证系统中的计算机之间的交互和系统和方法。 系统进行交互以识别跨平台的访问和检索数据，哪些数据可用于提高用于处理这些系统中处理器之间的交互的结果数据的质量。 所公开的反欺骗系统和方法通过在认证用户时增强“欺骗”（或尝试模仿用户）检测来提供对面部识别系统的改进的功能。 所公开的系统和方法为现有的面部识别系统提供额外的功能，使得这样的系统能够实际地确定被捕获和/或记录的图像是否是与非人类表示相反的实际人物的图像。