Toward unconstrained palmprint recognition on consumer devices: A literature review

AS Ungureanu, S Salahuddin, P Corcoran - IEEE Access, 2020 - ieeexplore.ieee.org
As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Robust scheme for iris presentation attack detection using multiscale binarized statistical image features

R Raghavendra, C Busch - IEEE Transactions on Information …, 2015 - ieeexplore.ieee.org
Vulnerability of iris recognition systems remains a challenge due to diverse presentation
attacks that fail to assure the reliability when adopting these systems in real-life scenarios. In …

Contlensnet: Robust iris contact lens detection using deep convolutional neural networks

R Raghavendra, KB Raja… - 2017 IEEE Winter …, 2017 - ieeexplore.ieee.org
Contact lens detection in the eye is a significant task to improve the reliability of iris
recognition systems. A contact lens overlays the iris region and prevents the iris sensor from …

Palmprint recognition via discriminative index learning

J Svoboda, J Masci… - 2016 23rd International …, 2016 - ieeexplore.ieee.org
In the past years, deep convolutional neural networks (CNNs) have become extremely
popular in the computer vision and pattern recognition community. The computational power …

Texture based features for robust palmprint recognition: a comparative study

R Raghavendra, C Busch - EURASIP Journal on Information Security, 2015 - Springer
Palmprint is a widely used biometric trait deployed in various access-control applications
due to its convenience in use, reliability, and low cost. In this paper, we propose a novel …

Collaborative representation with HM-LBP features for palmprint recognition

X Guo, W Zhou, Y Zhang - Machine Vision and Applications, 2017 - Springer
A novel collaborative representation model with hierarchical multiscale local binary pattern
(HM-LBP) for palmprint recognition is proposed in this paper. HM-LBP can retrieve useful …

Deep learning feature extraction for multispectral palmprint identification

K Bensid, D Samai, FZ Laallam… - Journal of Electronic …, 2018 - spiedigitallibrary.org
Person's identity validation is becoming much more essential due to the increasing demand
for high-security systems. A biometric system testifies the authenticity of specific …

Verifying the newborns without infection risks using contactless palmprints

R Ramachandra, KB Raja, S Venkatesh… - … on Biometrics (ICB), 2018 - ieeexplore.ieee.org
Verification of new-born babies utilizing the biometric characteristics has received an
increased attention, especially in applications such as law enforcement, vaccination …

Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics

S Tirunagari, N Poh, M Bober… - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Recent studies have shown that it is possible to attack a finger vein (FV) based biometric
system using printed materials. In this study, we propose a novel method to detect spoofing …

Ensemble of statistically independent filters for robust contact lens detection in iris images

R Raghavendra, KB Raja, C Busch - … of the 2014 Indian Conference on …, 2014 - dl.acm.org
Contact lenses are known to degrade the performance of the iris recognition system. Thus,
accurate detection of a contact lens is of paramount importance not only in improving the …