Real-Time Model-Based Hand Localization for Unsupervised Palmar Image Acquisition

  • Ivan Fratric
  • Slobodan Ribaric
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)

Abstract

Unsupervised and touchless image acquisition are two problems that have recently emerged in biometric systems based on hand features. We have developed a real-time model-based hand localization system for palmar image acquisition and ROI extraction. The system operates on video sequences and produces a set of palmprint regions of interest (ROIs) for each sequence. Hand candidates are first located using Viola-Jones approach and then the best candidate is selected using model-fitting approach. Experimental results demonstrate the feasibility of the system for unsupervised palmar image acquisition in terms of speed and localization accuracy.

Keywords

Hand localization real-time model-based unsupervised biometrics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ivan Fratric
    • 1
  • Slobodan Ribaric
    • 1
  1. 1.Faculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia

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