Results 81 to 90 of about 1,853,771 (271)

Finger Vein Recognition Using Pattern Map As Feature Extraction [PDF]

open access: yes, 2012
Today, finger vein has become a new biometric technology. The challenge of finger vein recognition comes to during the process of feature extraction. Since the low contrast finger vein images may contain shading and noise, it is important to precisely
Teoh, Saw Beng
core   +1 more source

The neglected background cues can facilitate finger vein recognition [PDF]

open access: yes, 2023
Recently, finger vein based biometric authentication has attracted considerable attention due to its high efficiency and high security. However, most existing finger vein representation methods focus on vein traits while ignoring background cues ...
Xue, Jing-Hao   +4 more
core   +1 more source

Lignin Mimicking Protein Methylation Augments the Efficacy of FOLFOX Chemotherapy by Anchoring Thymidylate Synthase

open access: yesAdvanced Materials, EarlyView.
Lignin‐mimicking protein methylation can enhance the efficacy and mitigate the toxicity of the classic FOLFOX chemotherapy regimen. ABSTRACT FOLFOX has served as the standard chemotherapy regimen for advanced stages, specifically in the treatment of pancreatic, colorectal, and bladder cancers.
Shiyao Song   +14 more
wiley   +1 more source

Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset

open access: yesSensors, 2019
Vascular pattern based biometric recognition is gaining more and more attention, with a trend towards contactless acquisition. An important requirement for conducting research in vascular pattern recognition are available datasets.
Christof Kauba   +2 more
doaj   +1 more source

High Accuracy Recognition Bio Metrics Based on Finger Vein Screening Sensor

open access: yesIraqi Journal of Information & Communication Technology, 2020
One of the safest biometrics of today is finger vein- but this technic  arises with some specific challenges, the most common  one being that the vein pattern is hard to extract because finger vein images are always low in quality, significantly ...
Shereen S. Jumaa, Khamis A. Zidan
doaj   +1 more source

Enhancement of Finger-Vein Image by Vein Line Tracking and Adaptive Gabor Filtering for Finger-Vein Recognition

open access: yes, 2011
Biometrics is the technology to identify a user by using the physiological or behavioral characteristics. Among the biometrics such as fingerprint, face, iris, and speaker recognition, finger-vein recognition has been widely used in various applications ...
So Ra Cho   +7 more
core   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

open access: yesAdvanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao   +3 more
wiley   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

open access: yesAdvanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever   +6 more
wiley   +1 more source

Tri-Branch Vein Structure Assisted Finger Vein Recognition

open access: yesIEEE Access, 2017
In the template matching of finger vein recognition, the probe will be accepted if the number of its overlapped vein points with the enrolled user is larger than the predefined threshold.
Lu Yang   +5 more
doaj   +1 more source

CRCGAN: Toward robust feature extraction in finger vein recognition

open access: yes
Deep convolutional neural networks (CNNs) have produced remarkable outcomes in finger vein recognition. However, these networks often overfit label information, losing essential image features, and are sensitive to noise, with minor input changes leading
Tian, Z, Zhou, Z, Zhang, Z, Yu, S
core   +1 more source

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