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Related Concept Videos

Assessment of radial pulse01:11

Assessment of radial pulse

Assessment of Radial Pulse
The radial pulse, located at the wrist, is often the preferred site for assessing peripheral pulse because of its accessibility and dependability. The process of determining the radial pulse involves several steps:
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Updated: Jun 23, 2026

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
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Published on: October 28, 2021

Personal authentication using hand vein triangulation and knuckle shape.

Ajay Kumar1, K Venkata Prathyusha

  • 1Biometrics Research Laboratory, Indian Institute of Technology Delhi, New Delhi 110016, India. ajaykr@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 19, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel, automated method for individual authentication using contactless hand vein and knuckle shape analysis. Promising results show this approach offers a user-friendly alternative for biometric identification.

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Area of Science:

  • Biometrics and Pattern Recognition
  • Computer Vision
  • Medical Imaging Analysis

Background:

  • Traditional biometric systems face challenges with spoofing and user convenience.
  • Hand vein patterns offer unique, internal biometric traits.
  • Contactless imaging enhances user experience and hygiene.

Purpose of the Study:

  • To develop and evaluate a novel, automated biometric authentication system.
  • To integrate hand vein patterns and knuckle shape features for improved accuracy.
  • To explore contactless imaging for user-friendly identification.

Main Methods:

  • Utilized palm dorsal hand vein images acquired via low-cost, near-infrared, contactless imaging.
  • Employed knuckle tips for image normalization and region of interest extraction.
  • Generated matching scores through hierarchical triangulation of vein structures and geometric knuckle features.
  • Combined scores using a weighted level approach for authentication.

Main Results:

  • Achieved a promising equal error rate (EER) of 1.14% on contactless palm dorsal-hand vein images.
  • Demonstrated the effectiveness of combining vein patterns and knuckle shape for authentication.
  • Validated the system's performance in experimental evaluations.

Conclusions:

  • The proposed method provides a robust and accurate biometric authentication solution.
  • Contactless hand vein and knuckle shape analysis presents a user-friendly alternative.
  • Further research can explore integration with other biometric modalities.