作者
Murat Taskiran, Nihan Kahraman, Cigdem Eroglu Erdem
发表日期
2020/11/1
来源
Digital Signal Processing
卷号
106
页码范围
102809
出版商
Academic Press
简介
Biometric systems have the goal of measuring and analyzing the unique physical or behavioral characteristics of an individual. The main feature of biometric systems is the use of bodily structures with distinctive characteristics. In the literature, there are biometric systems that use physiological features (fingerprint, iris, palm print, face, etc.) as well as systems that use behavioral characteristics (signature, walking, speech patterns, facial dynamics, etc.) Recently, facial biometrics has been one of the most preferred biometric data since it generally does not require the cooperation of the user and can be obtained without violating the personal private space. In this paper, the methods used to obtain and classify facial biometric data in the literature have been summarized. We give a taxonomy of image-based and video-based face recognition methods, outline the major historical developments, and the main processing …
引用总数
20202021202220232024340565632
学术搜索中的文章
M Taskiran, N Kahraman, CE Erdem - Digital Signal Processing, 2020