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Accelerated Biometric Fingerprint Search on a Multi-GPU Environment

  • Ricardo J. Barrientos
  • , Hernandez Garcia Ruber
  • , Marco Mora
  • , Javier Riquelme Pizarro
  • , David Laroze
  • Universidad Católica del Maule

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the largest biometric databases in Chile is fingerprints, which is also the most widely used biometric in the national context. In this sense, it is relevant to have efficient algorithms in execution time on this biometrics. In the current context of High Performance Computing, there are co-processors, such as GPUs (Graphic Processing Units) capable of accelerating algorithms efficiently with low monetary cost, low electrical cost and physical space. In this work, we propose the acceleration of a biometric fingerprint algorithm on a multi-GPU hardware platform.

Original languageEnglish
Title of host publicationChileCon 2023 - 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350369533
DOIs
StatePublished - 2023
Event2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon 2023 - Hybrid, Valdivia, Chile
Duration: 5 Dec 20237 Dec 2023

Publication series

NameProceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon
ISSN (Print)2832-1529
ISSN (Electronic)2832-1537

Conference

Conference2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon 2023
Country/TerritoryChile
CityHybrid, Valdivia
Period5/12/237/12/23

Keywords

  • Biometrics
  • Fingerprint
  • GPU
  • High Performance Computing
  • Parallel Computing

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