Results 51 to 60 of about 161,243 (325)

Iris Recognition Under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes

open access: yes, 2017
This paper presents the most comprehensive analysis of iris recognition reliability in the occurrence of various biological processes happening naturally and pathologically in the human body, including aging, illnesses, and post-mortem changes to date ...
Czajka, Adam   +2 more
core   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

open access: yesAdvanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar   +5 more
wiley   +1 more source

Postmortem iris recognition and its application in human identification [PDF]

open access: yes, 2015
Iris recognition is a validated and non-invasive human identification technology currently implemented for the purposes of surveillance and security (i.e. border control, schools, military).
Sansola, Alora
core   +1 more source

Iris Recognition for Infants

open access: yes2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Non-invasive, efficient, physical token-less, accurate and stable identification methods for newborns may prevent baby swapping at birth, limit baby abductions and improve post-natal health monitoring across geographies, within the context of both the formal (i.e., hospitals) and informal (i.e., humanitarian and fragile settings) health sectors.
Rasel Ahmed Bhuiyan   +4 more
openaire   +2 more sources

Magnetothermal‐Triggered Response and Self‐Healing of Recyclable and Reprocessable Nanocomposites for Actuation Systems

open access: yesAdvanced Functional Materials, EarlyView.
Developing recyclable materials for magnetic robotics that combine rapid response and self‐healing properties is challenging. Hence, this study focuses on the integration of magnetothermal nanoparticles into a dynamic sorbitol‐based vitrimer, a recyclable composite capable of remote actuation and self‐healing by magnetic heating.
Maria Weißpflog   +3 more
wiley   +1 more source

A Robust Iris Segmentation Scheme Based on Improved U-Net

open access: yesIEEE Access, 2019
Iris segmentation plays an important role in the iris recognition system, and the accurate segmentation of iris can lay a good foundation for the follow-up work of iris recognition and can improve greatly the efficiency of iris recognition.
Wei Zhang   +5 more
doaj   +1 more source

Aptamer‐Based Delivery Systems for VEGF and NGF Modulation in Ocular Therapies

open access: yesAdvanced Healthcare Materials, EarlyView.
Aptamer‐based delivery systems targeting NGF and VEGF hold significant potential for precise and sustained treatment of complex diseases affecting both the anterior and posterior segments of the eye. This review critically summarizes current strategies for NGF and VEGF delivery as well as VEGF sequestration, providing a clinical perspective on how ...
Nadine Best   +5 more
wiley   +1 more source

Iris Recognition Using Ridgelets [PDF]

open access: yesJournal of Information Processing Systems, 2012
Abstract —Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris.
Lenina Birgale, Manesh Kokare
openaire   +1 more source

Triply‐Twinned Metamaterials: Unraveling the Mechanics and Failure Pathways Through High‐Resolution XCT

open access: yesAdvanced Materials, EarlyView.
Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur   +7 more
wiley   +1 more source

Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

open access: yesIEEE Access, 2018
Iris recognition refers to the automated process of recognizing individuals based on their iris patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for biometric recognition.
Kien Nguyen   +3 more
doaj   +1 more source

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