Optical Wavelet Transform for Fingerprint Identification

Abstract

The Federal Bureau of Investigation (FBI) has recently sanctioned a wavelet fingerprint image compression algorithm developed for reducing storage requirements of digitized fingerprints. This research implements an optical wavelet transform of a fingerprint image, as the first step in an optical fingerprint identification process. Wavelet filters are created from computer generated holograms of biorthogonal wavelets, the same wavelets implemented in the FBI algorithm. Using a detour phase holographic technique, a complex binary filter mask is created with both symmetry and linear phase. The wavelet transform is implemented with continuous shift using an optical correlation between binarized fingerprints written on a Magneto-Optic Spatial Light Modulator (MOSLM) and the biorthogonal wavelet filters. A telescopic lens combination scales the transformed fingerprint onto the filters, providing a means of adjusting the biorthogonal wavelet filter dilation continuously. The wavelet transformed fingerprint is then applied to an optical fingerprint identification process. Comparison between normal fingerprints and wavelet transformed fingerprints shows improvement in the optical identification process, in terms of rotational invariance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1993
Accession Number
ADA274076

Entities

People

  • Robert P. Macdonald

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computers
  • Electrical Engineering
  • Holograms
  • Identification
  • Image Compression
  • Image Processing
  • Information Processing
  • Invariance
  • Optical Correlators
  • Optical Modulators
  • Pattern Recognition
  • Recognition
  • Symmetry
  • Two Dimensional
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects