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

2.1K
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...
2.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

542
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
542
Fineness Modulus01:19

Fineness Modulus

2.0K
The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
2.0K
Fast Fourier Transform01:10

Fast Fourier Transform

1.3K
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Corrosion assessment in aluminum pipe based on nonlinear ultrasonic technique using macro fiber composite transducers.

PloS one·2026
Same author

Metabolic profile analysis of key pentacyclic triterpenoid saponins from Abrus cantoniensis Hance and the interaction with hepatoprotective pharmacodynamic targets.

Journal of pharmaceutical and biomedical analysis·2026
Same author

Clinical and Histopathologic Characteristics and Outcomes of Patients With Psoriatic Arthritis Undergoing Arthroplasty.

The Journal of rheumatology·2026
Same author

Sequential co-immobilization of engineered chymotrypsin and carboxypeptidase in magnetic nanospherical polyelectrolyte brushes: A strategy for enhancing the value of rice bran protein.

International journal of biological macromolecules·2026
Same author

Structure-property evolution of insoluble dietary fiber from wheat bran under solid-state fermentation and its effect on functional and processing properties.

Food chemistry·2026
Same author

Cardiac α4β2 nicotinic receptors as a therapeutic target for fatal ventricular arrhythmias.

European heart journal·2026

Related Experiment Video

Updated: Apr 28, 2026

Super-resolution Imaging of Neuronal Dense-core Vesicles
09:30

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

9.2K

Palmprint based multidimensional fuzzy vault scheme.

Hailun Liu1, Dongmei Sun1, Ke Xiong2

  • 1School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China ; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing 100044, China.

Thescientificworldjournal
|June 4, 2014
PubMed
Summary

This study introduces a novel multidimensional fuzzy vault scheme (MDFVS) to improve biometric template protection. The enhanced fuzzy vault scheme effectively handles real-valued biometric variations, boosting accuracy and security.

More Related Videos

Photoactivated Localization Microscopy with Bimolecular Fluorescence Complementation BiFC-PALM
12:42

Photoactivated Localization Microscopy with Bimolecular Fluorescence Complementation BiFC-PALM

Published on: December 22, 2015

9.4K
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

5.8K

Related Experiment Videos

Last Updated: Apr 28, 2026

Super-resolution Imaging of Neuronal Dense-core Vesicles
09:30

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

9.2K
Photoactivated Localization Microscopy with Bimolecular Fluorescence Complementation BiFC-PALM
12:42

Photoactivated Localization Microscopy with Bimolecular Fluorescence Complementation BiFC-PALM

Published on: December 22, 2015

9.4K
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

5.8K

Area of Science:

  • Biometrics
  • Cryptography
  • Computer Science

Background:

  • Fuzzy vault scheme (FVS) is a popular biometric cryptosystem for template protection.
  • Existing FVS using error correcting codes (ECC) struggles with real-valued biometric intraclass variances.

Purpose of the Study:

  • To propose a multidimensional fuzzy vault scheme (MDFVS) that addresses limitations in current FVS.
  • To design an embedded error-tolerant mechanism for handling intraclass variances in FVS.

Main Methods:

  • Developed a general subspace error-tolerant mechanism for FVS.
  • Implemented a palmprint-based MDFVS for biometric template protection.
  • Evaluated the scheme's effectiveness in handling intraclass variances, accuracy, and security.

Main Results:

  • The proposed MDFVS effectively manages real-valued biometric intraclass variances.
  • The scheme maintains high accuracy in biometric template protection.
  • Enhanced security is achieved through the improved fuzzy vault scheme.

Conclusions:

  • MDFVS offers a robust solution for biometric template protection against intraclass variances.
  • The palmprint-based implementation demonstrates the practical applicability of MDFVS.
  • The proposed scheme enhances both the accuracy and security of biometric cryptosystems.