A Survey on Periocular Biometrics Research
Fernando Alonso-Fernandez, Josef Bigun

TL;DR
This survey reviews the current state of periocular biometrics, highlighting its advantages, existing challenges, and recent research developments in detection, recognition, and related applications.
Contribution
It provides a comprehensive overview of periocular biometrics research, including databases, algorithms, features, and comparisons with other biometric modalities.
Findings
Periocular region offers high discrimination ability and robustness in unconstrained environments.
Various algorithms and features have been developed for detection and recognition.
The survey identifies key challenges and future directions in periocular biometrics.
Abstract
Periocular refers to the facial region in the vicinity of the eye, including eyelids, lashes and eyebrows. While face and irises have been extensively studied, the periocular region has emerged as a promising trait for unconstrained biometrics, following demands for increased robustness of face or iris systems. With a surprisingly high discrimination ability, this region can be easily obtained with existing setups for face and iris, and the requirement of user cooperation can be relaxed, thus facilitating the interaction with biometric systems. It is also available over a wide range of distances even when the iris texture cannot be reliably obtained (low resolution) or under partial face occlusion (close distances). Here, we review the state of the art in periocular biometrics research. A number of aspects are described, including: i) existing databases, ii) algorithms for periocular…
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Taxonomy
TopicsBiometric Identification and Security · Face recognition and analysis · Forensic Anthropology and Bioarchaeology Studies
