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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.3K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.3K
Longitudinal Research02:20

Longitudinal Research

13.7K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.7K
Longitudinal Studies01:26

Longitudinal Studies

675
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
675

You might also read

Related Articles

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

Sort by
Same author

CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

CT/USG guided biopsy in spinal tuberculosis: Diagnostic yield.

Journal of clinical orthopaedics and trauma·2026
Same author

Early Outcome of Intracapsular Fracture Neck of Femur Managed with Femoral Neck System Versus Cannulated Cancellous Screws: A Prospective Comparative Study.

Indian journal of orthopaedics·2025
Same author

Universal Fingerprint Generation: Controllable Diffusion Model With Multimodal Conditions.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Assessment of change in antimicrobial susceptibility pattern of bacteria causing orthopaedic infections by sequential sampling: A prospective cohort study.

Journal of clinical orthopaedics and trauma·2024
Same author

Drug-Resistant Bone, Joint and Spine Tuberculosis: Evolution of Diagnosis and Treatment.

Indian journal of orthopaedics·2024

Related Experiment Video

Updated: Apr 8, 2026

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

23.6K

Longitudinal study of fingerprint recognition.

Soweon Yoon1, Anil K Jain2

  • 1Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824; Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.

Proceedings of the National Academy of Sciences of the United States of America
|July 1, 2015
PubMed
Summary

Fingerprint persistence is generally believed but rarely studied. This research shows fingerprint recognition accuracy remains stable over time, even with poor quality prints, though genuine match scores decrease.

Keywords:
biometricsfingerprint recognitionlongitudinal data analysismultilevel statistical modelpersistence of fingerprints

More Related Videos

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

1.4K
DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA
09:39

DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA

Published on: July 15, 2011

27.9K

Related Experiment Videos

Last Updated: Apr 8, 2026

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

23.6K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

1.4K
DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA
09:39

DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA

Published on: July 15, 2011

27.9K

Area of Science:

  • Forensic Science
  • Biometrics
  • Statistical Modeling

Background:

  • Human identification relies on fingerprint uniqueness and persistence.
  • Fingerprint persistence is largely assumed, with limited empirical evidence.
  • Previous studies focused on uniqueness, not long-term pattern stability.

Purpose of the Study:

  • To statistically analyze fingerprint persistence over time.
  • To investigate factors affecting fingerprint match scores and recognition accuracy.
  • To validate the long-term reliability of fingerprint identification.

Main Methods:

  • Analysis of longitudinal fingerprint records from 15,597 subjects over at least 5 years.
  • Application of multilevel statistical models incorporating time interval, age, and image quality.
  • Comparison of genuine and impostor match scores using single-finger and 10-finger fusion analyses.

Main Results:

  • Genuine fingerprint match scores significantly decrease as the time interval increases.
  • Impostor match scores show negligible change over time.
  • Fingerprint recognition accuracy remains stable up to 12 years, but uncertainty increases with poor quality prints.

Conclusions:

  • Fingerprint persistence is supported by stable recognition accuracy despite decreasing genuine match scores.
  • Fingerprint quality is a critical factor influencing the certainty of temporal stability.
  • The findings support the continued use of fingerprints in identification systems.