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3D Fingerprint Image Preprocessing and Enhancement

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Book cover Contactless 3D Fingerprint Identification

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

Contactless 3D fingerprint data acquired from a range of 3D fingerprint sensors requires specialized preprocessing operations. These preprocessing operations are required to suppress the accompanying noise and to enhance or accentuate the ridge–valley features. This chapter details various 3D fingerprint data formats and representations. Preprocessing operations to recover principal curvature, unit normal vector and the ridge surface directions are detailed in this chapter. Implementation of contactless fingerprint contrast enhancement homomorphic filtering is also explained in this chapter.

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References

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Authors and Affiliations

  1. The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Ajay Kumar

Authors
  1. Ajay Kumar
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Correspondence to Ajay Kumar .

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Kumar, A. (2018). 3D Fingerprint Image Preprocessing and Enhancement. In: Contactless 3D Fingerprint Identification. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-67681-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-67681-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67680-7

  • Online ISBN: 978-3-319-67681-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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