Noisy iris image matching by using multiple cues
Noisy iris recognition under visible lighting has recently drawn much attention. This paper
proposes an effective method for visible light iris image matching by using multiple …
proposes an effective method for visible light iris image matching by using multiple …
Multispectral scleral patterns for ocular biometric recognition
S Crihalmeanu, A Ross - Pattern Recognition Letters, 2012 - Elsevier
Biometrics is the science of recognizing people based on their physical or behavioral traits
such as face, fingerprints, iris, and voice. Among these characteristics, ocular biometrics has …
such as face, fingerprints, iris, and voice. Among these characteristics, ocular biometrics has …
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large dataset of
off-axis iris regions and train a low-complexity deep neural network. Although of low …
off-axis iris regions and train a low-complexity deep neural network. Although of low …
Deep belief network-based hybrid model for multimodal biometric system for futuristic security applications
M Vijay, G Indumathi - Journal of Information Security and Applications, 2021 - Elsevier
Biometrics is the technology to identify humans uniquely based on face, iris, and fingerprints,
etc. Biometric authentication allows the person recognition automatically on the basis of …
etc. Biometric authentication allows the person recognition automatically on the basis of …
Pupil detection schemes in human eye: a review
Pupil detection in a human eyeimage or video plays a key role in many applications such as
eye-tracking, diabetic retinopathy screening, smart homes, iris recognition, etc. Literature …
eye-tracking, diabetic retinopathy screening, smart homes, iris recognition, etc. Literature …
Periocular-assisted multi-feature collaboration for dynamic iris recognition
Iris recognition has emerged as one of the most accurate and convenient biometric for
person identification and has been increasingly employed in a wide range of e-security …
person identification and has been increasingly employed in a wide range of e-security …
A keypoints-based feature extraction method for iris recognition under variable image quality conditions
Y Alvarez-Betancourt, M Garcia-Silvente - Knowledge-Based Systems, 2016 - Elsevier
Iris recognition is a very reliable biometric modality for human identification. The immutable
and unique characteristics of the iris are the foundations for that claim. Currently, research …
and unique characteristics of the iris are the foundations for that claim. Currently, research …
The ND-IRIS-0405 iris image dataset
The Computer Vision Research Lab at the University of Notre Dame began collecting iris
images in the spring semester of 2004. The initial data collections used an LG 2200 iris …
images in the spring semester of 2004. The initial data collections used an LG 2200 iris …
An approach to iris contact lens detection based on deep image representations
Spoofing detection is a challenging task in biometric systems, when differentiating
illegitimate users from genuine ones. Although iris scans are far more inclusive than …
illegitimate users from genuine ones. Although iris scans are far more inclusive than …
A fast search algorithm for a large fuzzy database
In this paper, we propose a fast search algorithm for a large fuzzy database that stores iris
codes or data with a similar binary structure. The fuzzy nature of iris codes and their high …
codes or data with a similar binary structure. The fuzzy nature of iris codes and their high …