Results 71 to 80 of about 92,344 (267)
Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge
We propose a fully automatic minutiae extractor, called MinutiaeNet, based on deep neural networks with compact feature representation for fast comparison of minutiae sets. Specifically, first a network, called CoarseNet, estimates the minutiae score map
Cao, Kai +2 more
core +1 more source
Indoor positioning algorithm based on effective AP selection and multi-class LDA
To solve the problems of the lack of longitudinal position information in indoor positioning, an indoor positioning algorithm based on effective AP selection and multi-class LDA was proposed.In the offline stage, the AP selection algorithm based on ...
Guiqi LIU +5 more
doaj +2 more sources
Touchless Palmprint and Fingerprint Recognition
Biometric systems based on hand traits captured using touchless acquisition procedures are increasingly being used for the automatic recognition of individuals due to their favorable trade-off between accuracy and acceptability by users. Among hand traits, palmprint and fingerprints are the most studied modalities because they offer higher recognition ...
R. Donida Labati +3 more
openaire +1 more source
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani +13 more
wiley +1 more source
Patch-based Segmentation of Latent Fingerprint Images Using Convolutional Neural Network
Latent fingerprint segmentation involves marking out all the foreground regions accurately in a latent fingerprint image, but due to poor quality images and complex background, segmentation of latent fingerprint images is one of the most difficult tasks ...
Asif Iqbal Khan, Mohd Arif Wani
doaj +1 more source
Fingerprint Recognition System based on Artificial Neural Networks integrated with Machine Learning [PDF]
This study represents a fingerprint recognition approach that combines Artificial Neural Networks (ANN) with Machine Learning (ML) approaches to improve biometric identification in terms of precision, efficiency, and dependability.
Nagamani Ummadisetty +5 more
doaj +1 more source
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi +7 more
wiley +1 more source
Spectral representation of fingerprints [PDF]
Most fingerprint recognition systems are based on the use of a minutiae set, which is an unordered collection of minutiae locations and directions suffering from various deformations such as translation, rotation and scaling.
Akkermans, Anton H.M. +4 more
core +1 more source
2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source
xxxx. ABSTRACT Glioblastoma (GBM) remains one of the most lethal brain cancers, with median survival rarely exceeding 15 months after diagnosis. Interleukin‐12 (IL‐12) is a potent immunostimulatory cytokine capable of reshaping the tumor microenvironment (TME), yet its clinical translation is hindered by systemic toxicity and short half‐life. RNA‐based
Fatima Hameedat +11 more
wiley +1 more source

