Special Issue on Novel Insights on Ocular Biometrics In Image and Vision Computing
摘要截稿:
全文截稿: 2019-12-31
影响因子: 3.103
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:人工智能 - 3区
• 小类 : 计算机:软件工程 - 3区
• 小类 : 计算机:理论方法 - 3区
• 小类 : 工程:电子与电气 - 3区
• 小类 : 光学 - 3区
Overview
Notwithstanding the enormous potential of the traits in the ocular region for biometric applications, this line of research still raises several open issues, which justifies the ongoing research efforts. For instance, the relatively recent emergence of the periocular and sclera traits makes it worth recording the progress of this area. Also, all the traits underlying ocular biometrics and their possible combination still need to be more thoroughly investigated, not only to improve recognition robustness, but also to perceive the potential of this kind of traits to play a significant role in solving emerging problems in the biometrics domain, such as “systems interpretability”, “weakly/partial supervised recognition” or “forensics evidence and biometric recognition”. This special issue aims at providing a platform to publish and record the recent research on ocular biometrics in order to push the border of the state-of-the-art.
Topics of interest include, but are not limited to:
· Ocular biometrics at-a-distance and in-the-wild;
· Ocular biometric beyond texture feature
· Ocular biometrics in mobile environments;
· Segmentation, enhancement issues of ocular biometrics;
· Interpretability in ocular biometrics;
· Weakly supervised ocular biometric recognition;
· Liveness of ocular biometrics;
· Adaptability of ocular biometrics;
· Databases on ocular biometrics;
· Ocular biometrics for forensics applications;
· Ocular biometrics for classifying gender, age, ethnicity;
· Ocular biometrics for newly born or twins;
· Fusion of different ocular biometrics like sclera, iris, periocular region etc.