학술논문

Periocular biometrics: databases, algorithms and directions
Document Type
Working Paper
Source
Subject
Computer Science - Computer Vision and Pattern Recognition
Electrical Engineering and Systems Science - Image and Video Processing
Language
Abstract
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes and eyebrows. It is available over a wide range of acquisition distances, representing a trade-off between the whole face (which can be occluded at close distances) and the iris texture (which do not have enough resolution at long distances). Since the periocular region appears in face or iris images, it can be used also in conjunction with these modalities. Features extracted from the periocular region have been also used successfully for gender classification and ethnicity classification, and to study the impact of gender transformation or plastic surgery in the recognition performance. This paper presents a review of the state of the art in periocular biometric research, providing an insight of the most relevant issues and giving a thorough coverage of the existing literature. Future research trends are also briefly discussed.
Comment: Published in: 2016 4th International Conference on Biometrics and Forensics (IWBF). arXiv admin note: substantial text overlap with arXiv:1810.03360