Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric
Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric
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DOI：
10.1109/icmla51294.2020.00170
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Tony Gwyn;Mustafa Atay;Roy Kaushik;A. Esterline
中科院分区：
文献类型：
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作者：
Tony Gwyn;Mustafa Atay;Roy Kaushik;A. Esterline
在计算机安全和用户身份验证不断变化的世界中，用户名/密码标准变得越来越过时。在多个帐户和网站上使用相同的用户名和密码会使用户容易受到漏洞的影响，并且在当前的数字时代，记住多个用户名和密码的必要性是非常不必要的。未来的身份验证方法需要可靠和快速，同时保持提供安全访问的能力。在传统的用户名密码标准中加入人脸生物特征，以增强用户身份认证。然而，这项技术仍然需要一个广泛的评估研究，以显示它在不同的设置下的可靠性和有效性。局部二进制模式（LBP）是一种离散但功能强大的纹理分类方案，特别适合用于面部识别的图像分类。这里提出的系统致力于检查和测试各种LBP配置，以确定其图像分类精度。LBP的最有利的配置应该被检查作为一种潜在的方式，通过增加面部生物识别的安全性来增强当前的用户名和密码标准。
In the ever-changing world of computer security and user authentication, the username/password standard is becoming increasingly outdated. Using the same username and password across multiple accounts and websites leaves a user open to vulnerabilities, and the need to remember multiple usernames and passwords feels very unnecessary in the current digital age. Authentication methods of the future need to be reliable and fast, while maintaining the ability to provide secure access. Augmenting traditional username-password standard with face biometric is proposed in the literature to enhance the user authentication. However, this technique still needs an extensive evaluation study to show how reliable and effective it will be under different settings.Local Binary Pattern (LBP) is a discrete yet powerful texture classification scheme, which works particularly well with image classification for facial recognition. The system proposed here strives to examine and test various LBP configurations to determine their image classification accuracy. The most favorable configurations of LBP should be examined as a potential way to augment the current username and password standard by increasing their security with facial biometrics.