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Human identification using finger images.

Ajay Kumar1, Yingbo Zhou

  • 1Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. ajaykr@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|October 15, 2011
PubMed
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This study introduces a novel biometric system combining finger-vein and low-resolution fingerprint identification. The new approach significantly enhances accuracy in biometric authentication and recognition tasks.

Area of Science:

  • Biometrics
  • Computer Vision
  • Pattern Recognition

Background:

  • Existing finger-vein identification systems have limitations.
  • Integrating multiple biometric modalities can improve performance.
  • Low-resolution fingerprint imaging presents challenges for identification.

Purpose of the Study:

  • To develop and evaluate a novel multimodal biometric system.
  • To improve the accuracy of finger-vein identification systems.
  • To investigate the utility of low-resolution fingerprint images from webcams.

Main Methods:

  • Simultaneous acquisition of finger-vein and low-resolution fingerprint images.
  • Development of novel holistic and nonlinear score-level fusion strategies.
  • Comparative evaluation of fusion strategies against established methods.

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Main Results:

  • The proposed system demonstrates superior performance compared to prior methods.
  • Significant improvements observed in both authentication and recognition experiments.
  • The fusion of finger-vein and low-resolution fingerprint data enhances system accuracy.

Conclusions:

  • The novel multimodal biometric system offers enhanced identification performance.
  • Score-level fusion strategies are effective in combining biometric modalities.
  • Low-resolution fingerprint images can be effectively utilized in multimodal systems.