A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Deep Representation-Based Feature Extraction and Recovering for Finger-Vein Verification
2017
IEEE Transactions on Information Forensics and Security
Preserved Fulltext
Deep Representation based feature extraction and recovering for Finger-vein verification Huanfeng Qin and Mounim A. ...
Algorithm 1 Deep representation for finger-vein pattern extraction. ...
doi:10.1109/tifs.2017.2689724
fatcat:dpdky6g7qrhj5cpcvcniqw2kai
FV-GAN: Finger Vein Representation Using Generative Adversarial Networks
2019
IEEE Transactions on Information Forensics and Security
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Although recent convolutional neural network (CNN)-based methods for finger vein verification have shown powerful capacity for feature representation and promising perspective in this area, they still ...
for feature extraction. ...
ACKNOWLEDGMENT We are grateful to the Associate Editor and three anonymous reviewers for their constructive comments which largely improve our manuscript, in particular about the methodology presentation ...
doi:10.1109/tifs.2019.2902819
fatcat:m7md3pvl2nc4tnt2d75mvr56xy
Finger-Vein Pattern Restoration with Generative Adversarial Network
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Matching minutiae features in such images ultimately degrades verification performance of the finger-vein recognition system. ...
To overcome this problem, in this paper, a novel finger-vein image restoration approach is proposed to recover the missed patterns based on generative adversarial network (GAN), as the first attempt in ...
Then, the minutiae features are extracted from the recovering image for verification. ...
doi:10.1109/access.2020.3009220
fatcat:nny4gzij3jakdokzvgogm67qie
Finger Vein Based Authentication using Deep Learning Techniques
2020
International journal of recent technology and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a novel approach for authentication using finger-vein images. We use basic convolutional neural network (CNN) with transfer learning. ...
Collecting, storing and processing biometric trait images of all the employees is always a challenge for larger organizations. Deep learning techniques come to rescue from such situations. ...
Huafeng Qin et al [13] uses deep learning model for finger vein verification. ...
doi:10.35940/ijrte.e6890.018520
fatcat:lzf7f3ns5bg25ih3dk35wbw2pm
EXTRACTION AND RECOVERING OF FINGER VEIN VERIFICATION BASED ON DEEP ATTRIBUTE REPRESENTATION
2022
Malaysian Journal of Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The proposed work focuses on developing a contactless sensor to retrieve features from the hand's finger vein pattern using a Deep attribute Representation based Fractional Firefly method (DAR-FFF). ...
Biometric features are significantly more difficult for attackers to replicate or fabricate than traditional methods, and they are extremely rare to lose. ...
Deep Attribute Representation based Finger vein Recognition This assignment aims to implement a system for obtaining and analyzing snapshots of finger arteries using MATLAB for user identification. ...
doi:10.22452/mjcs.sp2022no2.3
fatcat:sxv46fkmxjcn5ibgp4iseqfqii
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This review summarizes 46 papers about deep learning for finger vein image recognition from 2017 to 2021. These papers are summarized according to the tasks of deep neural networks. ...
Besides, we present the challenges and potential development directions of finger vein image recognition. ...
image based on the features, and the modified linear unit extract finger vein texture details ...
arXiv:2207.02148v1
fatcat:6xksmnxsizdgzdqc5suy5elelu
A HYBRID APPROACH FOR DEEP LEARNING BASED FINGER VEIN BIOMETRICS TEMPLATE SECURITY
ГИБРИДНЫЙ ПОДХОД К БЕЗОПАСНОСТИ ШАБЛОНОВ БИОМЕТРИЧЕСКИХ ДАННЫХ ВЕН ПАЛЬЦА НА ОСНОВЕ ГЛУБОКОГО ОБУЧЕНИЯ
2020
IZVESTIYA SFedU ENGINEERING SCIENCES
ГИБРИДНЫЙ ПОДХОД К БЕЗОПАСНОСТИ ШАБЛОНОВ БИОМЕТРИЧЕСКИХ ДАННЫХ ВЕН ПАЛЬЦА НА ОСНОВЕ ГЛУБОКОГО ОБУЧЕНИЯ
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The proposed hybrid method consists of four parts, namely Finger vein feature extraction, BDD-based secure template generation, Fuzzy commitment scheme and ML based finger vein recognition and decision ...
In this paper we have discussed a hybrid method for finger vein biometric recognition based on deep learning approach using BDD and fuzzy commitment schemes. ...
In [14] , for finger-vein verification, a deep learning based segmental model is developed to predict the probability of pixels from veins or the background. ...
doi:10.18522/2311-3103-2020-3-173-183
fatcat:l6fd5i7v3rhu5kxa2afzrwhr2a
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication
[article]
2024
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Finger vein authentication, recognized for its high security and specificity, has become a focal point in biometric research. ...
Traditional methods predominantly concentrate on vein feature extraction for discriminative modeling, with a limited exploration of generative approaches. ...
Verification task compares feature embeddings of training and testing samples, while identification task determines the most likely class for the finger vein image based on class probabilities. ...
arXiv:2402.02060v1
fatcat:amvg6e7e4jbypd3yeocpf4wrrm
A deep ensemble learning method for single finger-vein identification
2023
Frontiers in Neurorobotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
However, they lack the robustness of extracting robust and discriminative finger-vein features from a single training image sample. ...
In the proposed method, multiple feature maps were generated from an input finger-vein image, based on various independent deep learning-based classifiers. ...
Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition. ...
doi:10.3389/fnbot.2022.1065099
pmid:36714153
pmcid:PMC9876037
fatcat:ses7buigkvgsvbqtfk6al2oqey
BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Bimodal palmprint recognition leverages palmprint and palm vein images simultaneously,which achieves high accuracy by multi-model information fusion and has strong anti-falsification property. ...
In the recognition pipeline, the detection of palm and the alignment of region-of-interest (ROI) are two crucial steps for accurate matching. ...
ROI Processing Module The four heads enable us to recover the rotated bounding box and extract the ROI on backbone feature F and palm vein image. ...
arXiv:2110.01179v2
fatcat:dqqsbcgn6bbbpihxdcu7ayoiba
Hand-based multibiometric systems: state-of-the-art and future challenges
2021
PeerJ Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems ...
In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. ...
ADDITIONAL INFORMATION AND DECLARATIONS Funding This project was funded by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Kingdom of ...
doi:10.7717/peerj-cs.707
pmid:34712793
pmcid:PMC8507475
fatcat:aejhjsxfbnhtzeiyggynamkbim
Credit Card Duplication and Crime Prevention Using Biometrics
2013
IOSR Journal of Computer Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a IRPV (Iris Recognition and Palm Vein) recognition technology which will help add even more security to existing biometric devices that may be susceptible to fraud. ...
The techniques used are Palm vein technology, along with iris recognition. It is difficult to crack, because each person's vein pattern is unique. ...
for verification. ...
doi:10.9790/0661-01010107
fatcat:53grvc673vft7avb3fdno7744i
Fully Automated Binary Pattern Extraction For Finger Vein Identification using Double Optimization Stages-Based Unsupervised Learning Approach
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Machine learning-based unsupervised, supervised, and deep learning algorithms have had a significant influence on finger vein detection and recognition at the moment. ...
The initial stage of optimization is to create a completely automated unsupervised image clustering based on finger vein image localization. ...
Ending main loop / [end of for].
Fig. 5 . 5 Fig. 5. (a), (b), and (c) represents the outcomes of the globalized finger vein estimate stage for the localized finger feature extraction. ...
arXiv:2205.03840v1
fatcat:wia3rcv4tjda7fb7jiddjasfoa
Fingerprint Template Invertibility: Minutiae vs. Deep Templates
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Much of the success of fingerprint recognition is attributed to minutiae-based fingerprint representation. ...
The success of deep learning has resulted in alternative fingerprint representations (embeddings), in the hope that they might offer better recognition accuracy as well as non-invertibility of deep network-based ...
Engelsma for his valuable discussions and contributions to this work. ...
arXiv:2205.03809v1
fatcat:prqyatwiwba6dpun5axmpmb45q
Noncontact Palm Vein ROI Extraction Based on Improved Lightweight HRnet in Complex Backgrounds
2024
IET Biometrics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
The extraction of ROI (region of interest) was a key step in noncontact palm vein recognition, which was crucial for the subsequent feature extraction and feature matching. ...
A noncontact palm vein ROI extraction algorithm based on the improved HRnet for keypoints localization was proposed for dealing with hand gesture irregularities, translation, scaling, and rotation in complex ...
Acknowledgments Special thanks to Chen Yifan and Lin Chenrui from the South China Agricultural University for their data collection, thanks to Wang Xi from Guangzhou No. 2 High School, and Jiang Yizhi ...
doi:10.1049/2024/4924184
fatcat:esqnizyt7bffvevozx7q37e4qy
« Previous
Showing results 1 — 15 out of 1,043 results