Periocular regions of the right eyes are mirrored and combined with those of the left eyes to form an image set. Each image set contains periocular regions of a ...
Human identification based on iris biometrics requires high resolution iris images of a cooperative subject. Such images cannot be obtained in non-intrusive ...
In this paper we investigate the use of periocular region for person identification. Current techniques have focused on choosing a single best frame, mostly ...
In this paper we investigate the use of periocular region for person identification. Current techniques have focused on choosing a single best frame, mostly ...
Oct 26, 2022 · We present a new periocular dataset containing samples from 1122 subjects, acquired in 3 sessions by 196 different mobile devices.
The primary motivation of this paper is to analyze the usability of a new feature rich biometric trait known as periocular region (nearby region around the eye) ...
This paper presents a new deep periocular recognition framework called attribute-based deep periocu- lar recognition (ADPR), which predicts soft biometrics and.
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Abstract—The performance of iris recognition is affected if iris is captured at a distance. Further, images captured in.
The proposed image-set based periocular biometric recognition has exhibited recognition rates much higher than the existing state-of-the-art techniques. In.
Jan 3, 2021 · This research proposes a feature fusion approach which combines the handcrafted features HOG, non-handcrafted features extracted using pretrained CNN models ...