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Related Experiment Videos

Case study of 3D fingerprints applications.

Feng Liu1, Jinrong Liang1, Linlin Shen1

  • 1Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, Guang Dong, China.

Plos One
|April 12, 2017
PubMed
Summary

Three dimensional (3D) fingerprint data offers enhanced information over traditional two dimensional (2D) methods. Utilizing 3D shape features improves fingerprint recognition accuracy and enables effective personal authentication.

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Area of Science:

  • Biometrics
  • Computer Vision
  • Pattern Recognition

Background:

  • Human fingerprints are inherently three-dimensional (3D) objects.
  • Traditional two-dimensional (2D) fingerprint analysis captures limited information.
  • 3D fingerprint data offers potential for improved recognition accuracy and detail.

Purpose of the Study:

  • To collect and analyze 3D fingerprint point cloud data.
  • To extract novel 3D features for fingerprint recognition.
  • To evaluate the effectiveness of 3D features in personal authentication and identification.

Main Methods:

  • Acquisition of 3D finger point cloud data using Structured-light Illumination.
  • Extraction and study of additional features from 3D fingerprint images.

Related Experiment Videos

  • Experimental evaluation of 3D features for fingerprint recognition and alignment.

    • Main Results:

    • 3D finger shape features facilitate quick alignment, though not directly for recognition.
    • A novel 3D shape ridge feature achieves an Equal Error Rate (EER) of approximately 8.3% for personal authentication.
    • Combining 3D features with 2D features yields a promising EER of ~1.3% for fingerprint recognition.

    Conclusions:

    • 3D fingerprint information significantly enhances recognition capabilities compared to 2D methods.
    • The developed 3D shape ridge feature is effective for authentication and improving core point detection.
    • Integrating 3D and 2D features presents a promising future for advanced 3D fingerprint recognition systems.