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Shape-based hand recognition.

Erdem Yörük1, Ender Konukoğlu, Bülent Sankur

  • 1BUSIM Laboratory, Boğaziçi University, Istanbul, Turkey. yoruk.erdem@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 13, 2006
PubMed
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Hand image biometrics offer a viable secure access control solution. This study demonstrates satisfactory performance for person recognition and verification using hand contours and silhouette features.

Area of Science:

  • Biometrics
  • Computer Vision
  • Pattern Recognition

Background:

  • Person recognition is crucial for secure access control.
  • Existing biometric systems have limitations.
  • Hand-based recognition presents a potential alternative.

Purpose of the Study:

  • To develop and evaluate a person recognition and verification system using hand images.
  • To assess the effectiveness of different feature sets for hand-based biometrics.

Main Methods:

  • Images of right hands were captured using a flatbed scanner.
  • A pre-processing stage involved pose normalization (rotation, translation) of hand and finger silhouettes.
  • Two feature sets were evaluated: Hausdorff distance of contours and independent component features of silhouettes.

Related Experiment Videos

Main Results:

  • Both classification and verification performances were highly satisfactory.
  • The system demonstrated viability for secure access control with groups of approximately 500 subjects.

Conclusions:

  • Hand-based recognition is a practical and effective biometric scheme.
  • The proposed system offers a secure and reliable method for access control.