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Applications of 3D Fingerprints

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Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail

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Abstract

Human fingers are 3D objects. More information will be provided if three dimensional (3D) fingerprints are available compared with two dimensional (2D) fingerprints. Thus, this chapter firstly collected 3D finger point cloud data by Structured-light Illumination method. Additional features from 3D fingerprint images are then studied and extracted. The applications of these features are finally discussed. A series of experiments are conducted to demonstrate the helpfulness of 3D information to fingerprint recognition. Results show that a quick alignment can be easily implemented under the guidance of 3D finger shape feature even though this feature does not work for fingerprint recognition directly. The newly defined distinctive 3D shape ridge feature can be used for personal authentication with Equal Error Rate (EER ) of ~8.3%. Also, it is helpful to remove false core point. Furthermore, a promising of EER ~1.3% is realized by combining this feature with 2D features for fingerprint recognition which indicates the prospect of 3D fingerprint recognition.

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Author information

Authors and Affiliations

  1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

    Feng Liu

  2. College of Computer Science, Sichuan University, Chengdu, China

    Qijun Zhao

  3. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

    David Zhang

Authors
  1. Feng Liu
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  2. Qijun Zhao
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  3. David Zhang
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Liu, F., Zhao, Q., Zhang, D. (2020). Applications of 3D Fingerprints. In: Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail. Springer, Singapore. https://doi.org/10.1007/978-981-15-4128-5_5

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  • DOI: https://doi.org/10.1007/978-981-15-4128-5_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4127-8

  • Online ISBN: 978-981-15-4128-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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