Results 31 to 40 of about 415,012 (281)

Weber Local Descriptors With Variable Curvature Gabor Filter for Finger Vein Recognition

open access: yesIEEE Access, 2019
Since captured finger vein images are usually of low quality, it is challenging to extract reliable finger vein features directly from the original finger vein images.
Huabin Wang   +3 more
doaj   +1 more source

An Optimization Algorithm to Improve the Accuracy of Finger Vein Recognition

open access: yesIEEE Access, 2022
As people’s daily behavioral activities become more data-based, how to protect personal information security is a crucial consideration for the whole society.
Zhi Chong Wan   +3 more
doaj   +1 more source

Finger Vein Recognition by Generating Code

open access: yesCoRR, 2021
Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishes ability, security and non-invasive procedure. The main idea of traditional schemes is to directly extract features from finger vein images or patterns and then compare features to find the best match.
Zhongxia Zhang, Mingwen Wang
openaire   +2 more sources

Modified Conditional Generative Adversarial Network-Based Optical Blur Restoration for Finger-Vein Recognition

open access: yesIEEE Access, 2020
Among the existing biometrics methods, finger-vein recognition is beneficial because finger-veins patterns are locate under the skin and thus difficult to forge. Moreover, user convenience is high because non-invasive image capturing devices are used for
Jiho Choi   +5 more
doaj   +1 more source

Finger-Vein Recognition Based on Densely Connected Convolutional Network Using Score-Level Fusion With Shape and Texture Images

open access: yesIEEE Access, 2020
Biometrics using finger-veins is a recognition method based on the shape of veins in fingers, and it has the advantage of difficulty to be forged. However, a shade is inevitably produced due to the bones and fingernails, and a change in illumination ...
Kyoung Jun Noh   +3 more
doaj   +1 more source

Finger-Vein Verification Based on LSTM Recurrent Neural Networks

open access: yesApplied Sciences, 2019
Finger-vein biometrics has been extensively investigated for personal verification. A challenge is that the finger-vein acquisition is affected by many factors, which results in many ambiguous regions in the finger-vein image. Generally, the separability
Huafeng Qin, Peng Wang
doaj   +1 more source

Finger Vein Recognition Algorithm Using Modified Band Limited Phase Only Correlation [PDF]

open access: yesJisuanji gongcheng, 2019
The influence of band limited parameters is usually ignored in finger vein recognition algorithm based on the Band Limited Phase Only Correlation(BLPOC) and its recognition accuracy and speed need to be improved.Thus,a novel algorithm using the modified ...
LEI Lei,XI Feng,CHEN Shengyao
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

Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition [PDF]

open access: yes
Gabor filters are able to extract texture features from finger vein images from different directions and scales. However, manually crafted Gabor filters have problems such as relatively single direction and scale, and difficulties in parameter adjustment
Li, Jun   +5 more
core   +1 more source

Finger Vein Recognition Based on Anatomical Features of Vein Patterns

open access: yesIEEE Access, 2023
Finger vein recognition is a promising biometric authentication technique that depends on the unique features of vein patterns in the finger for recognition.
Arya Krishnan, Tony Thomas
doaj   +1 more source

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