Face Authentication from Masked Face Images Using Deep Learning on Periocular Biometrics
Face Authentication from Masked Face Images Using Deep Learning on Periocular Biometrics
复制标题
使用眼周生物识别深度学习从蒙面图像进行人脸认证
DOI：
10.1007/978-3-031-08530-7_38
复制
发表时间：
2022
期刊：
影响因子：
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通讯作者：
Jeffrey J. Hernandez V., Rodney Dejournett
中科院分区：
文献类型：
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作者：
Jeffrey J. Hernandez V., Rodney Dejournett
如今，随着电子商务和在线服务的发展，身份盗窃已成为一个令人担忧的问题。此外，由于新冠肺炎大流行，社会已经被推动使用口罩，以便人们安全地相互交流。如果一个人的脸大部分被遮住，就很难识别出来，人工智能更难识别蒙面的人。为了进一步保护个人资料及发展安全的资讯系统，我们需要更全面的生物识别方法。目前使用的面部识别系统使用生物特征，如眼周区域、虹膜、面部、肤色和种族信息等。在本文中，我们采用基于深度学习的认证方法，利用眼周生物特征信息来提高人脸识别系统的性能。我们使用真实世界的蒙面数据集（RMFD）和其他数据集来开发我们的系统。我们利用CNN模型对图像的眼周区域信息进行了一些实验。因此，我们开发了一个系统，可以仅通过面部的一小部分区域来识别一个人，在这种情况下是眼周信息，包括眼睛和眉毛区域。我们的模型只关注眼周区域，因为人脸的眼周区域是我们在戴口罩时可以获得的主要可靠信息来源。
Nowadays, identity theft is an alarming issue with the growth of e-commerce and online services. Moreover, due to the Covid-19 pandemic, society has been pushed towards the usage of masks for people to safely interact with one another. It is hard to recognize a person if the face is mostly covered, even more so to artificial intelligence who have more difficulty identifying a masked individual. To further protect personal information and to develop a secure information system, more comprehensive bio-metric approaches are required. The currently used facial recognition systems are using biometrics such as periocular regions, iris, face, skin tone and racial information etc. In this paper, we apply a deep learning-based authentication approach using periocular biometric information to enhance the performance of the facial recognition system. We used the Real-World Masked Face Dataset (RMFD) and other datasets to develop our system. We implemented some experiments using CNN model on the periocular region information of the images. Hence, we developed a system that can recognize a person from only using a small region of face, which in this case is the periocular information including both eyes and eyebrows region. There is only a focus on the periocular region with our model in the view of the fact that the periocular region of the face is the main reliable source of information we can get while a person is wearing a face mask.