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

959
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...
959
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.6K

You might also read

Related Articles

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

Sort by
Same author

Unsupervised Data Driven Clustering of the Neurological Assessments of People With Traumatic SCI Focusing on Sensorimotor Complete Injuries.

Neurorehabilitation and neural repair·2026
Same author

Linking neurological status to functional outcomes in spinal cord injury: a multi-class, task-specific approach.

BMC biomedical engineering·2026
Same author

MV-MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation.

Entropy (Basel, Switzerland)·2024
Same author

Hubble Meets Webb: Image-to-Image Translation in Astronomy.

Sensors (Basel, Switzerland)·2024
Same author

Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset.

Medical physics·2024
Same author

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation.

Journal of biomedical informatics·2024

Related Experiment Video

Updated: Jul 27, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K

Mobile authentication of copy detection patterns.

Olga Taran1, Joakim Tutt1, Taras Holotyak1

  • 1Stochastic Information Processing Group, Department of Computer Science, University of Geneva, 7 Route de Drize, 1227 Carouge, Switzerland.

EURASIP Journal on Information Security
|June 9, 2023
PubMed
Summary
This summary is machine-generated.

This study explores the security of copy detection patterns (CDP) against counterfeiting. Machine learning and mobile phones can reliably authenticate genuine CDP, even under real-world printing and lighting conditions.

Keywords:
AuthenticationCopy fakesCopy detection patternsMulti-class classificationOne-class classification

More Related Videos

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
HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis
07:29

HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis

Published on: November 11, 2022

2.1K

Related Experiment Videos

Last Updated: Jul 27, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K
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
HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis
07:29

HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis

Published on: November 11, 2022

2.1K

Area of Science:

  • Computer Science
  • Engineering
  • Security Studies

Background:

  • Copy Detection Patterns (CDP) are crucial for linking physical objects to the digital world, with applications in the Internet of Things and brand protection.
  • The security of CDP against unauthorized reproduction and counterfeiting remains an underexplored area.
  • Investigating CDP authentication is vital for preventing illicit copying and ensuring product authenticity.

Purpose of the Study:

  • To investigate the authentication aspects and resistance to illegal copying of modern CDP.
  • To evaluate CDP security from machine learning perspectives, focusing on anti-counterfeiting applications.
  • To assess reliable authentication under real-world conditions using industrial printers and mobile phone enrollment.

Main Methods:

  • Utilized machine learning approaches, including multi-class supervised classification and one-class classification.
  • Simulated real-life verification scenarios with CDP printed industrially and captured by mobile phones under regular light.
  • Investigated four distinct types of copy fakes to test authentication robustness.

Main Results:

  • Modern machine learning techniques demonstrate high reliability in authenticating CDP.
  • Mobile phone capabilities are sufficient for authenticating CDP under various classes of fakes.
  • The study confirms the feasibility of end-user mobile phone authentication for CDP security.

Conclusions:

  • Machine learning and mobile technology offer robust solutions for authenticating Copy Detection Patterns.
  • CDP can be reliably authenticated on consumer mobile devices, enhancing anti-counterfeiting measures.
  • This research provides a foundation for secure CDP implementation in brand protection and IoT.