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 Experiment Videos

Filterbank-based fingerprint matching.

A K Jain1, S Prabhakar, L Hong

  • 1Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA. jain@pilot.msu.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
PubMed
Summary
This summary is machine-generated.

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

Profiling CARD14 gene expression in Indian Psoriasis patients.

Scientific reports·2024
Same author

Exploring the diversity of virulence genes in the <i>Magnaporthe</i> population infecting millets and rice in India.

Frontiers in plant science·2023
Same author

The Implementation of a Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) Program at a Level 1 New England Trauma Center: Feasibility and Early Outcomes.

The American surgeon·2023
Same author

Added value of the measles-rubella supplementary immunization activity in reaching unvaccinated and under-vaccinated children, a cross-sectional study in five Indian districts, 2018-20.

Vaccine·2022
Same author

Deep learning model for predicting tunnel damages and track serviceability under seismic environment.

Modeling earth systems and environment·2022
Same author

Role of GeneXpertMTB/RIF in the diagnosis of cutaneous tuberculosis.

The Indian journal of tuberculosis·2022
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

A new filter-based algorithm for fingerprint identification uses Gabor filters to create a compact FingerCode. This approach offers fast matching and competitive accuracy, especially when combined with traditional minutiae-based methods for enhanced verification.

Area of Science:

  • Biometrics
  • Computer Science
  • Pattern Recognition

Background:

  • Identity fraud is increasing, driving demand for automatic personal identification.
  • Traditional fingerprint identification methods (e.g., minutiae-based) have limitations in extracting features and matching efficiency.
  • Minutiae-based methods do not fully utilize the rich discriminatory information in fingerprints.

Purpose of the Study:

  • To propose a novel filter-based algorithm for fingerprint representation and matching.
  • To address the shortcomings of traditional minutiae-based fingerprint identification.
  • To improve the speed and accuracy of biometric verification systems.

Main Methods:

  • Utilized a bank of Gabor filters to extract local and global fingerprint details.

Related Experiment Videos

  • Developed a compact, fixed-length representation called FingerCode.
  • Employed Euclidean distance for comparing FingerCodes, enabling rapid matching.

    • Main Results:

    • The filter-based algorithm achieves verification accuracy comparable to leading minutiae-based methods.
    • The proposed system demonstrates superior performance over a state-of-the-art minutiae-based system under certain conditions.
    • Combining filter-based and minutiae-based approaches further improves matching performance.

    Conclusions:

    • The filter-based algorithm provides an efficient and accurate alternative for fingerprint verification.
    • Combining complementary fingerprint information sources enhances overall system reliability.
    • This approach offers a viable solution for high-volume, real-time biometric identification applications.