Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cementless femoral stem in arthroplasty for hip fracture: Early radiological subsidence at 3 months and predictive factor out of 117 cases.

Orthopaedics & traumatology, surgery & research : OTSR·2026
Same author

Complications and outcomes in 69 consecutive patients with floating hip.

Orthopaedics & traumatology, surgery & research : OTSR·2021
Same author

Logical Attacks and Countermeasures for Fingerprint On-Card-Comparison Systems.

Sensors (Basel, Switzerland)·2020
Same author

Congenital lumbar kyphosis with skin ulceration and osteomyelitis in a myelomeningocele child: a case report.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery·2017
Same author

Blind prediction of natural video quality.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2014
Same author

Optimizing multiscale SSIM for compression via MLDS.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2012

Related Experiment Video

Updated: Jul 31, 2025

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.0K

Comparative study of minutiae selection methods for digital fingerprints.

Benoit Vibert1, Jean-Marie Le Bars1, Christophe Charrier1

  • 1Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, Caen, France.

Frontiers in Big Data
|May 5, 2023
PubMed
Summary

This study compares fingerprint minutiae selection methods for embedded systems. Some methods perform well across different matching algorithms and datasets, suitable for both enrollment and verification.

Keywords:
benchmarkingfingerprintmatching algorithmminutiae selectiontemplate reduction

More Related Videos

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

20.5K
Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence
11:49

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence

Published on: March 9, 2015

15.8K

Related Experiment Videos

Last Updated: Jul 31, 2025

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.0K
Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

20.5K
Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence
11:49

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence

Published on: March 9, 2015

15.8K

Area of Science:

  • Biometrics and Security
  • Computer Science
  • Embedded Systems

Background:

  • Biometric systems are increasingly used in applications like access control and e-payment.
  • Digital fingerprints are a key biometric modality for embedded systems (smartcards, smartphones).
  • Fingerprint templates rely on minutiae for comparison, requiring secure storage and processing in embedded devices.

Purpose of the Study:

  • To conduct a comparative analysis of prominent minutiae selection methods for fingerprint templates.
  • To evaluate methods that do not require raw fingerprint images, focusing on template subsets.
  • To assess the performance of these methods across various matching algorithms and datasets.

Main Methods:

  • Comparative analysis of existing minutiae selection techniques from scientific literature.
  • Evaluation of methods based on template data only, excluding raw image processing.
  • Experimental testing using diverse matching algorithms and benchmark fingerprint datasets.

Main Results:

  • Identified significant performance variations among different minutiae selection methods.
  • Demonstrated that certain selection methods maintain high performance with different matching algorithms.
  • Showcased the adaptability of some methods across both fingerprint enrollment and verification phases.

Conclusions:

  • The selection of minutiae subsets is crucial for efficient fingerprint template processing in embedded systems.
  • Specific minutiae selection methods offer robust performance irrespective of the matching algorithm used.
  • Several evaluated methods are versatile, performing adequately in both enrollment and verification contexts with minimal performance loss.