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

