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GPU Processing for Biometric Big Data Based Identi.ication. Why and what for?
2017
Biostatistics and Biometrics Open Access Journal
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A review of the existing GPU based systems is introduced focusing on GPU based fingerprint matching systems. ...
This paper tackles the use of graphics processing units (GPUs) which are high performance and cost effective computing elements, as building blocks of large-scale identification systems. ...
This work presents a study on the use of GPUs in biometric identification tasks and some successful applications on fingerprint identification in large-scale environments. ...
doi:10.19080/bboaj.2017.02.555577
fatcat:fucv2p7rwjdczekjxiyfshteby
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems
2020
IEEE Access
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Latent fingerprint identification is one of the most essential identification procedures in criminal investigations. ...
This work introduces the fastest methodology for latent fingerprint identification maintaining high accuracy called Asynchronous processing for Latent Fingerprint Identification (ALFI). ...
The most studied one is classification, which filters large-scale databases by separating fingerprints into different categories based on their shapes. ...
doi:10.1109/access.2020.3005476
fatcat:23ts67xzofd3xmt5e4jyyqvnbi
Fast Audio Fingerprinting System using GPU and a Clustering-Based Technique
2016
IJARCCE
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However, for a large database, this search is time consuming. To reduce the search time, we accelerate this similarity search by using a graphics processing unit (GPU). ...
We present our audio fingerprinting system that detects a transformed copy of an audio from a large collection of audios in a database. ...
Track identification using audio fingerprinting is considered to be one of the fastest and accurate forms of music recognition. ...
doi:10.17148/ijarcce.2016.51269
fatcat:24sxrycd5bh3bbqvmuqruu4teu
POSTER
2015
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security - CCS '15
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The generated fingerprint can be used to implement a physically unclonable function (PUF), and thus to create a trusted computing environment with GPUs as the trust anchor. ...
general purpose GPU (GPGPU). ...
Classic cryptographic primitives such as device identification and authentication are one of the fundamental enabling technologies for protection. ...
doi:10.1145/2810103.2810105
dblp:conf/ccs/LiFL15
fatcat:fekpvf62ovhjbkuo6bkcaazmlq
Can Evil IoT Twins Be Identified? Now Yes, a Hardware Behavioral Fingerprinting Methodology
[article]
2022
arXiv
pre-print
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One of the most important issues is the presence of evil IoT twins. ...
validation has been performed in a real environment composed of identical Raspberry Pi 4 Model B and Raspberry Pi 3 Model B+ devices, obtaining a 91.9% average TPR with an XGBoost model and achieving the identification ...
Table 1 : 1 Individual device identification solutions based on device behavior fingerprinting. ...
arXiv:2106.08209v3
fatcat:ncu74bnf6fhtpachdp7zoh3a3a
An Accelerated Architecture Based on GPU and Multi-Processor Design for Fingerprint Recognition
2016
International Journal of Advanced Computer Science and Applications
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In this paper, we present also an accelerated architecture based on GPU and multi-processor design in which the suggested fingerprint recognition algorithm is implemented. ...
In both industry and scientific literature, many fingerprint identification systems were developed using different techniques and approaches. ...
This paper proposes, in the next section, an architecture based on GPU and multi-processor design for fingerprint recognition to accelerate the identification time.
V. ...
doi:10.14569/ijacsa.2016.070348
fatcat:34r5tucwzzdtdcinejytu73jny
Detecting very large sets of referenced files at 40/100 GbE, especially MP4 files
2015
Digital Investigation. The International Journal of Digital Forensics and Incident Response
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A Graphics Processing Unit (GPU) card computes the fingerprints of all the IP packets in parallel and searches for hits in the onboard collection of fingerprints. ...
The proposed implementation also features the detection of suspect flows based on IP addresses and ports in order to carry out deeper investigations off line. ...
Thus, the proposed system may be used by forensics investigators at very large scales (up to Internet backbones) to reliably detect the transfer of very large sets of referenced audio, image and video ...
doi:10.1016/j.diin.2015.05.011
fatcat:7xhnfvrsojezhea32t2jkkvmvy
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks
2017
Information Sciences
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The proposal is evaluated over two matching algorithms, two Big Data frameworks (Apache Hadoop and Apache Spark) and two large-scale fingerprint databases, with promising results concerning the identification ...
As the size of their identification databases grows, there is a need of flexible, reliable structures for fingerprint recognition systems. ...
The resulting identification systems are applied over several large-scale fingerprint databases, proving the scalability and flexibility capacities of the proposed idea. ...
doi:10.1016/j.ins.2017.05.001
fatcat:djn5v67khndtlpve5nsfvzsgla
Fingerprint Synthesis: Search with 100 Million Prints
[article]
2020
arXiv
pre-print
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Evaluation of large-scale fingerprint search algorithms has been limited due to lack of publicly available datasets. ...
Additionally, the synthetic fingerprints based on our approach are shown to be more distinct than synthetic fingerprints based on published methods through search results and imposter distribution statistics ...
Introduction Large-scale Automated Fingerprint Identification Systems (AFIS) have been widely deployed throughout law enforcement and forensics agencies, international border crossings, and national ID ...
arXiv:1912.07195v3
fatcat:tvwyscd4ejgotphgpxp7toomta
A REVIEW ON IMAGE SEGMENTATION USING GPU
2016
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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This paper discusses the various techniques implemented for image segmentation and discusses the various Computations that can be performed on the graphics processing unit (GPU) by means of the CUDA architecture ...
Because of the large importance of image segmentation a number of algorithms have been proposed and different approaches have been adopted. ...
Furthermore, the algorithm is accelerated on a GPU cluster in order to obtain optimal computing times for large size images. ...
doi:10.24297/ijct.v15i10.4502
fatcat:frxva3p2kzahbckoknmven6yse
Editorial introduction: special issue on advances in parallel and distributed computing for neural computing
2020
Neural computing & applications (Print)
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such as monetary policy prediction, bioinformatics, image classification, pedestrian re-identification, fingerprint pattern recognition, and human personality classification. ...
., GPUs) are routinely used to train and run various neural network models. ...
The authors verified the performance advantages of MTCD-CNN through experiments on large-scale commodity image detection. ...
doi:10.1007/s00521-020-04887-7
fatcat:aydztes3cjfrffsw7ext7g6c4i
Integrated IoT and Cloud Environment for Fingerprint Recognition
[article]
2018
arXiv
pre-print
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In this paper, we propose a system for large-scale fingerprint matching application using Aneka, a platform or developing scalable applications on the Cloud. ...
Experimental results demonstrate that matching time for biometric information such as fingerprints in large-scale databases can be reduced substantially using our proposed system. ...
[8] benefit from graphics processing unit (GPU) computing implementation of a fingerprint matching algorithm to speed up their system performance on large databases. ...
arXiv:1807.08099v1
fatcat:52m2ltcd6fathkgduhsheqfydy
Scalable Geometric Deep Learning on Molecular Graphs
[article]
2021
arXiv
pre-print
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We train four graph neural network architectures on over 400 GPUs and investigate the scaling behavior of these methods. ...
Empirical neural scaling relations quantify the model-dependent scaling and enable optimal compute resource allocation and the identification of scalable molecular geometric deep learning model implementations ...
Here, we investigate the scaling behavior of molecular graph neural networks via distributed training on many GPUs. ...
arXiv:2112.03364v1
fatcat:kgkmguoccbbihbq7rixuqbbyom
A Jungle Computing approach to common image source identification in large collections of images
2018
Digital Investigation. The International Journal of Digital Forensics and Incident Response
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The first application targets medium-scale investigations, for example within a crime laboratory, the second application is targeted at large-scale investigations, for example within institutions. ...
GPUs, something we call computing jungles. ...
compute clusters with GPUs for very large data sets. 3. ...
doi:10.1016/j.diin.2018.09.002
fatcat:cnx67nys4fc4zl3mrwykcqppna
A Survey on Various Approaches to Fingerprint Matching for Personal Verification and Identification
2016
International Journal of Computer Science & Engineering Survey
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Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness ...
and persistence properties of fingerprints. ...
As fingerprint systems are being deployed world-wide on a large scale, it demands accuracy and highly interoperable algorithms. ...
doi:10.5121/ijcses.2016.7401
fatcat:x365yrgbmzcefluz7uq7pzxegu
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