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

Muscles of the Forearm that Move the Hand and Fingers01:16

Muscles of the Forearm that Move the Hand and Fingers

2.5K
The muscles of the forearm that move the wrist, hand, and digits are numerous and diverse. They can be classified into two groups based on their location and function — the anterior and posterior compartment muscles.
Anterior Compartment
The anterior compartment muscles originate from the humerus. They primarily function as flexors and are also known as flexor muscles. They typically insert on the carpals, metacarpals, and phalanges. The superficial layer includes the flexor carpi...
2.5K
Fixed Action Patterns01:06

Fixed Action Patterns

17.6K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.6K
Patterns of Fever01:26

Patterns of Fever

3.8K
Before understanding the types and patterns of fever, it is essential to know its phases.
3.8K
Oxygen Requirements and Growth Patterns01:29

Oxygen Requirements and Growth Patterns

1.4K
Microorganisms exhibit diverse oxygen requirements and growth patterns driven by their metabolic strategies and environmental adaptations. Oxygen, while essential for many organisms, can also be toxic under certain conditions, shaping how microorganisms grow and survive.Oxygen Requirements of MicroorganismsMicroorganisms are classified based on their ability to use or tolerate oxygen:● Obligate aerobes like Mycobacterium tuberculosis need oxygen for energy production, as it serves as the...
1.4K
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

6.9K
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
6.9K
Methods of Classification and Identification01:28

Methods of Classification and Identification

1.2K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Isolation and characterization of mesenchymal stem cells from caprine umbilical cord tissue matrix.

Tissue & cell·2016
Same author

Secretome Cues Modulate the Neurogenic Potential of Bone Marrow and Dental Stem Cells.

Molecular neurobiology·2016
Same author

Long-circulatory nanoparticles for gemcitabine delivery: Development and investigation of pharmacokinetics and in-vivo anticancer efficacy.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences·2016
Same author

Influence of immobilization and forced swim stress on the neurotoxicity of lambda-cyhalothrin in rats: Effect on brain biogenic amines and BBB permeability.

Neurotoxicology·2016
Same author

Isolation and characterization of alborixin from Streptomyces scabrisporus: A potent cytotoxic agent against human colon (HCT-116) cancer cells.

Chemico-biological interactions·2016
Same author

Pragmatic use of insulin degludec/insulin aspart co-formulation: A multinational consensus statement.

Indian journal of endocrinology and metabolism·2016
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

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

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

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

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

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

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

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

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis
10:38

Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis

Published on: September 3, 2013

16.6K

Contactless Biometric Identification Using 3D Finger Knuckle Patterns.

Kevin H M Cheng, Ajay Kumar

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 15, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces the first contactless 3D finger knuckle database for automated biometric identification. The new 3D feature descriptor enhances accuracy in finger knuckle matching and shows potential for other hand-based biometrics.

    More Related Videos

    Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
    14:27

    Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

    Published on: June 26, 2013

    16.2K
    Using Adhesive Patterning to Construct 3D Paper Microfluidic Devices
    07:53

    Using Adhesive Patterning to Construct 3D Paper Microfluidic Devices

    Published on: April 1, 2016

    8.0K

    Related Experiment Videos

    Last Updated: Jan 27, 2026

    Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis
    10:38

    Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis

    Published on: September 3, 2013

    16.6K
    Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
    14:27

    Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

    Published on: June 26, 2013

    16.2K
    Using Adhesive Patterning to Construct 3D Paper Microfluidic Devices
    07:53

    Using Adhesive Patterning to Construct 3D Paper Microfluidic Devices

    Published on: April 1, 2016

    8.0K

    Area of Science:

    • Biometrics
    • Computer Vision
    • Pattern Recognition

    Background:

    • Finger knuckle patterns are gaining attention for automated biometric identification.
    • Existing research primarily uses 2D data, limiting the potential of 3D finger knuckle patterns.

    Purpose of the Study:

    • Introduce the first contactless 3D finger knuckle database in the public domain.
    • Develop and validate a novel 3D feature descriptor for accurate 3D finger knuckle matching.
    • Present an individuality model for the proposed descriptor.

    Main Methods:

    • Acquired a contactless 3D finger knuckle database from 130 subjects using photometric stereo.
    • Developed a new feature descriptor to extract discriminative 3D features.
    • Conducted comparative experiments with state-of-the-art methods.

    Main Results:

    • The proposed 3D feature descriptor demonstrated effectiveness on the new 3D finger knuckle database.
    • The descriptor showed potential for other hand-based biometrics like palmprints and fingerprints, outperforming existing methods on those datasets.

    Conclusions:

    • The developed contactless 3D finger knuckle database and feature descriptor advance 3D biometrics.
    • The approach offers improved accuracy for finger knuckle identification and broader applicability in hand-based biometrics.