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

Image pre-processing methods for palm print authentication.

Min Jae Park1, Jung Su Oh, Kwang Suk Park

  • 1Interdisciplinary Program of Med. & Biol. Eng. Major, Seoul Nat. Univ., South Korea.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

This study introduces a novel ridge detection method for low-resolution palm print identification. The approach accurately extracts principle palm lines, overcoming local flatness issues for improved biometric recognition.

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

Unobtrusive sleep posture estimation using pressure sensor in home sleep.

Computers in biology and medicine·2026
Same author

Strategic robot adoption to improve work efficiency and safety in elderly care: Insights from mixed-method approach.

Work (Reading, Mass.)·2025
Same author

Effect of closed-loop vibration stimulation on sleep quality for poor sleepers.

Frontiers in neuroscience·2024
Same author

An evaluation framework for low performers and human resource management planning: Application to a life insurance company in Korea.

Evaluation and program planning·2024
Same author

Performance management and policy evaluation of information and communication technology graduate program for developing countries.

Evaluation and program planning·2024
Same author

Modulation of sleep using noninvasive stimulations during sleep.

Biomedical engineering letters·2023

Area of Science:

  • Biometrics
  • Computer Vision
  • Image Processing

Background:

  • Palm print identification is crucial for biometrics.
  • Low-resolution images pose challenges for accurate feature extraction.
  • Existing methods struggle with local flatness issues in palm prints.

Purpose of the Study:

  • To develop an effective ridge detection method for low-resolution palm print identification.
  • To accurately extract principle lines from palm print images.
  • To address and overcome the local flatness problem in palm print images.

Main Methods:

  • Contour extraction for precise principle line identification.
  • Application of the DAROC (downhill along the ridges on the contours) algorithm.
  • Utilizing distance, angle, and momentum for robust feature extraction.

Related Experiment Videos

Main Results:

  • Successful extraction of exact principle lines from low-resolution palm prints.
  • Effective overcoming of local flatness (LF) problems.
  • Enhanced accuracy in palm print identification using the proposed method.

Conclusions:

  • The proposed ridge detection method significantly improves palm print identification from low-resolution images.
  • The DAROC algorithm effectively handles local flatness, enhancing feature extraction.
  • This method offers a promising solution for biometric systems relying on palm print recognition.