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OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting
[article]
2022
arXiv
pre-print
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Finally, we describe first localization experiments on this radio map using a convolutional neural network to regress for location coordinates. ...
Fingerprint-based localization methods propose a solution to this problem, but rely on a radio map that is effort-intensive to acquire. ...
ACKNOWLEDGMENTS This work was supported by Swisscom AG in the context of an internship, in partnership with the Telecommunications Circuits Laboratory (TCL) at the EPFL. ...
arXiv:2104.07963v3
fatcat:q77z5yn5cngnpp2x6xojirnxwm
A Robust Deep Features Enabled Touchless 3D-Fingerprint Classification System
2021
SN Computer Science
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The proposed approach achieves a classification accuracy of 90.20%. ...
In this model a transfer deep-learning model AlexNet-CNN is used for deep feature extraction and classification, which obtains 4096 dimensional deep features. ...
Acknowledgements The Authors would like to thank the management, Principal and authorities of Malnad College of Engineering, Hassan for extending full support in carrying out this research work. ...
doi:10.1007/s42979-021-00657-x
fatcat:qg2aj4mucjbcbca3e2y2wznbn4
Iris and Fingerprint Fusion for Biometric Identification
2013
International Journal of Computer Applications
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In an innovative multimodal biometric identify system based on Iris and fingerprint traits are proposed. Feature is extracted from preprocessed images of Iris and Fingerprint. ...
These features of a query image are compared with those of a database image to obtain matching score and this score is fuse the final score is use to declare the person is accepted or rejected. ...
The fusion techniques used for comparison include weighted sum, a Fisher discriminate analysis and neural network based classifier [10] .The likelihood ratio (LR) test used in the Neyman-Pearson theorem ...
doi:10.5120/13438-1209
fatcat:j5x7v7ob7jfztnv3advvzozmtq
The dynamic modular fingerprints of the human brain at rest
[article]
2020
bioRxiv
pre-print
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The human brain is a dynamic modular network that can be decomposed into a set of modules and its activity changes permanently over time. ...
We use Electro/Magneto-Encephalography (EEG/MEG) to track dynamics of modular brain networks, in three independent datasets (N= 568) of healthy subjects at rest. ...
Acknowledgments This work was financed by the Rennes University, the Institute of Clinical Neuroscience of Rennes (project named EEGCog). ...
doi:10.1101/2020.05.30.125385
fatcat:p72yoygi3zhczccsble4p2d74y
The dynamic modular fingerprints of the human brain at rest
2021
NeuroImage
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The human brain is a dynamic modular network that can be decomposed into a set of modules, and its activity changes continually over time. ...
We use Electro/Magneto-Encephalography (EEG/MEG) to track the dynamics of modular brain networks, in three independent datasets (N = 568) of healthy subjects at rest. ...
Acknowledgments This work was financed by the Rennes University , the Institute of Clinical Neuroscience of Rennes (Project named EEGCog). ...
doi:10.1016/j.neuroimage.2020.117674
pmid:33359336
fatcat:o3tpqtnl2bc5bperks63lbkw44
Analytic Signal Phase in N-D by Linear Symmetry Tensor–fingerprint modeling
[article]
2020
arXiv
pre-print
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Instead of the Analytic Signal phase, we suggest the use of Linear Symmetry phase, relying on more than one set of Gabor filters, but with a negligible computational add-on, as a remedy. ...
This is a useful tool, to reduce development times of minutia detection methods with explainable behavior. ...
Inspired by 1-D, and given the ill-posedness of continuous Phase unwrapping, one approach has been to use the derivative of phase e.g. ...
arXiv:2005.08108v1
fatcat:4n2hsqrel5aznfob2yo35zeob4
The Study of Three-Dimensional Fingerprint Recognition in Cultural Heritage
2021
ACM Journal on Computing and Cultural Heritage
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In forensics and biometrics, three-dimensional fingerprint-based imaging technologies, and corresponding recognition methods, have been vastly investigated. ...
In cultural heritage, preliminary studies provide evidence that the three-dimensional impressions left on objects from the past (ancient fingerprints) are of paramount relevance to understand the socio-cultural ...
[11] showed how the CT scanner at the FleX-ray Laboratory facility at CWI (Amsterdam) allows the detection of a 3-D fingerprint hidden in a hollow of a terracotta sculpture from the Rijksmuseum and ...
doi:10.1145/3461341
fatcat:my7t4pe46rddti7izxwiy7w2iq
3D Fingerprint Recognition based on Ridge-valley-guided 3D Reconstruction and 3D Topology Polymer Feature Extraction
2019
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Despite the progress in developing 3D AFRSs, achieving high-quality real-time reconstruction and high-accuracy recognition of 3D fingerprints remain two challenging issues. ...
To address them, we propose a robust 3D AFRS based on ridge-valley (RV)-guided 3D fingerprint reconstruction and 3D topology polymer (TTP) feature extraction. ...
More importantly, 2D fingerprints cannot truly represent natural three-dimensional (3D) ones because they lose 3D information during acquisition when a curved 3D finger is flattened against a 2D plane. ...
doi:10.1109/tpami.2019.2949299
pmid:31675315
fatcat:jjcyjd5gxvha3dway3j6g2b7uq
Automated Border Control Systems: Biometric Challenges and Research Trends
[chapter]
2015
Lecture Notes in Computer Science
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document (e.g., the e-Passport) with a live sample captured during the crossing of the border. ...
Automated Border Control (ABC) systems automatically verify the travelers' identity using their biometric information, without the need of a manual check, by comparing the data stored in the electronic ...
This work was supported in part by: the EC within the 7FP under grant agreement 312797 (ABC4EU); the EC within the H2020 program under grant agreement 644597 (ESCUDO-CLOUD); and the Italian Ministry of ...
doi:10.1007/978-3-319-26961-0_2
fatcat:65yosx3unrh3tiw47ogxupimqe
CONTACTLESS FINGERPRINT BIOMETRICS: ACQUISITION, PROCESSING, AND PRIVACY PROTECTION
[article]
2013
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Ringrazio inoltre tutti coloro con cui ho collaborato durante questo lavoro, tra i Un ringraziamentoè rivolto a Giuseppe Livraga per l'apprezzata realizzazione di numerose componenti meccaniche necessarie ...
A novel approach for the quality evaluation of contact-equivalent fingerprint images obtained by unwrapping three-dimensional models has therefore been studied. ...
B.6.3 Methods based on three-dimensional models 6.3.3 Quality assessment of unwrapped fingerprint images The researched approach for the quality estimation of contact-equivalent fingerprint images obtained ...
doi:10.13130/donida-labati-ruggero_phd2013-02-26
fatcat:yruf5wc3vzea5epe7l6jxighvi
A Framework for CSI-Based Indoor Localization with 1D Convolutional Neural Networks
[article]
2022
arXiv
pre-print
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In this paper, we propose an end-to-end solution including data collection, pattern clustering, denoising, calibration and a lightweight one-dimensional convolutional neural network (1D CNN) model with ...
of CSI to a broader indoor space. ...
of APs to preprocess CSI data in complex large open spaces, thereby removing the security concerns for accessing Wi-Fi facilities. We propose a lightweight, one-dimensional Convolutional Neural Network ...
arXiv:2205.08068v1
fatcat:7fyib6rtpzdsdept7avkhwgipu
Channel Charting: Locating Users within the Radio Environment using Channel State Information
2018
IEEE Access
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Finally, the channel charts are generated with tools from dimensionality reduction, manifold learning, and deep neural networks. ...
We propose channel charting (CC), a novel framework in which a multi-antenna network element learns a chart of the radio geometry in its surrounding area. ...
ACKNOWLEDGMENT A short version of this paper will be presented at the 2018 IEEE Global Communications Conference. The authors would like to thank O. Castañeda, P. Huang, and J. ...
doi:10.1109/access.2018.2866979
fatcat:mzl7oybcvjhxrh2f5okrhulrhm
Channel Charting: Locating Users within the Radio Environment using Channel State Information
[article]
2018
arXiv
pre-print
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Finally, the channel charts are generated with tools from dimensionality reduction, manifold learning, and deep neural networks. ...
We propose channel charting (CC), a novel framework in which a multi-antenna network element learns a chart of the radio geometry in its surrounding area. ...
QUALITY MEASURES FOR CHANNEL FEATURES AND CHANNEL CHARTS To characterize the usefulness of channel features and the quality of the generated channel charts, we need a measure of how well the channel features ...
arXiv:1807.05247v2
fatcat:mmcizzd3sjcvropk76bmcennza
A Survey and Technical Overview of Iris Recognition System
2021
International Journal of Mechanical Engineering
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The elements measured are the face, fingerprints, hand geometry, penmanship, iris, retinal, vein, and voice. ...
Biometrics is robotized strategy for perceiving a man because of a physiological or behavioural trademark. ...
The method has an accuracy of 70%, FAR of 0.00% and FRR of 0.03% (Khanam et al., 2019 ) implemented a neural network and discriminant analysis of machine learning method for iris recognition using MATLAB ...
doi:10.56452/2021sp-8-028
fatcat:z44junbpgjaslcg6rey6izbu6q
Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming?
2022
Frontiers in Cardiovascular Medicine
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fingerprinting along with the clinical utility of AI applications in image post-processing, and analysis. ...
biomarkers for a wide spectrum of cardiac conditions. ...
Steeden et al. (13) has successfully employed a subset of convolutional neural network, specifically the 3D residual U-net to perform super-resolution reconstruction on low-resolution three-dimensional ...
doi:10.3389/fcvm.2021.818765
pmid:35083303
pmcid:PMC8785419
fatcat:j7clx4pydrhenklorjh7kykm3u
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