Alignment-free cancelable iris biometric templates based on adaptive bloom filters
Biometric characteristics are largely immutable, ie unprotected storage of biometric data
provokes serious privacy threats, eg identity theft, limited re-newability, or cross-matching. In …
provokes serious privacy threats, eg identity theft, limited re-newability, or cross-matching. In …
Biometric applications in education
M Hernandez-de-Menendez… - International Journal on …, 2021 - Springer
Educational institutions are acquiring novel technologies to help make their processes more
efficient and services more attractive for both students and faculty. Biometric technology is …
efficient and services more attractive for both students and faculty. Biometric technology is …
Cross-spectral iris recognition using CNN and supervised discrete hashing
Completely automated iris recognition has emerged as an integral part of e-business and e-
governance infrastructure which has acquired billions of iris images under near-infrared …
governance infrastructure which has acquired billions of iris images under near-infrared …
Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms
A binary iriscode is a very compact representation of an iris image. For a long time it was
assumed that the iriscode did not contain enough information to allow for the reconstruction …
assumed that the iriscode did not contain enough information to allow for the reconstruction …
Towards online iris and periocular recognition under relaxed imaging constraints
CW Tan, A Kumar - IEEE Transactions on Image Processing, 2013 - ieeexplore.ieee.org
Online iris recognition using distantly acquired images in a less imaging constrained
environment requires the development of a efficient iris segmentation approach and …
environment requires the development of a efficient iris segmentation approach and …
Exploiting superior CNN-based iris segmentation for better recognition accuracy
H Hofbauer, E Jalilian, A Uhl - Pattern Recognition Letters, 2019 - Elsevier
CNN-based iris segmentations have been proven to be superior to traditional iris
segmentation techniques in terms of segmentation error metrics. To properly utilize them in a …
segmentation techniques in terms of segmentation error metrics. To properly utilize them in a …
A novel approach for ECG-based human identification using spectral correlation and deep learning
SS Abdeldayem, T Bourlai - IEEE Transactions on Biometrics …, 2019 - ieeexplore.ieee.org
In this paper, we utilize the electrocardiogram (ECG) as a primary biometric modality in
human identification. The design steps of the proposed approach are the following. First, we …
human identification. The design steps of the proposed approach are the following. First, we …
A survey of iris biometrics research: 2008–2010
A recent survey of iris biometric research from its inception through 2007, roughly 15 years
of research, lists approximately 180 publications. This new survey is intended to update the …
of research, lists approximately 180 publications. This new survey is intended to update the …
Biometric recognition: an overview
Prevailing methods of human identification based on credentials (identification documents
and PIN) are not able to meet the growing demands for stringent security in applications …
and PIN) are not able to meet the growing demands for stringent security in applications …
A survey on periocular biometrics research
F Alonso-Fernandez, J Bigun - Pattern Recognition Letters, 2016 - Elsevier
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 …
eyebrows. While face and irises have been extensively studied, the periocular region has …