A vary approach to face recognition veritable mechanisms for Android mobile against spoofing

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI:10.1109/ICCIC.2014.7238290

V. Ravibabu, N. Krishnan

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引用次数: 8

Abstract

Authentication is the process of identifying and verifying someone, who it claims to be known as user. The increasing popularity of smart mobile phones provides user to store personal data and user information. It is necessary to ensure the confidential access of the mobile phone to its user. Currently, Face Unlock is the biometric user authenticating system widely available in mobile phone. However, user's face image for authentication could not be considered as a secure. Since we faced the problem of 2D face spoofing attacks by displaying user photo in front of the camera. In this paper, we analyze on current methods of face recognition for authentication on mobile phone and present a novel approach for Face Recognition system to be more secure and convenient use. We perform by acquiring with various angular of face information from user and analyze the liveness detection of user by comparing with biometric template of data acquired in a database. The results to the user face recognition are promising in liveness detection and reliable against spoofing.

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一种针对Android移动设备的人脸识别机制

身份验证是识别和验证自称为用户的人的过程。智能手机的日益普及为用户提供了存储个人数据和用户信息的工具。有必要确保手机对其用户的机密访问。人脸解锁是目前广泛应用于手机的生物识别用户认证系统。然而，用户的人脸图像进行身份验证不能被认为是安全的。由于我们面临着通过在相机前显示用户照片来进行2D人脸欺骗攻击的问题。本文对现有的手机人脸识别认证方法进行了分析，提出了一种新的方法，使手机人脸识别系统更加安全、方便使用。我们从用户身上获取不同角度的面部信息，并通过与数据库中获取的数据的生物特征模板进行比较，分析用户的活度检测。结果表明，用户人脸识别在动态检测和抗欺骗方面具有良好的应用前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2014 IEEE International Conference on Computational Intelligence and Computing Research

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