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A novel fingerprint image compression technique using wavelets packets and pyramid lattice vector quantization.

Shohreh Kasaei1, Mohamed Deriche, Boualem Boashash

  • 1Sharif Univ. of Technol., Tehran, Iran. skasaei@sharif.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 6, 2008
PubMed
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This study introduces a novel fingerprint image compression algorithm using wavelet packets and lattice vector quantization. The new method achieves superior image quality at identical bit rates compared to existing algorithms.

Area of Science:

  • Digital Image Processing
  • Biometric Security
  • Signal Processing

Background:

  • Efficient compression of biometric data, such as fingerprint images, is crucial for storage and transmission.
  • Existing image compression algorithms may not optimally adapt to the unique statistical properties of fingerprint image subbands.

Purpose of the Study:

  • To develop a novel, adaptive compression algorithm for fingerprint images.
  • To improve the rate-distortion performance for fingerprint image compression.

Main Methods:

  • Utilized wavelet packets for image decomposition.
  • Developed a new lattice vector quantization scheme based on a generalized Gaussian distribution model for wavelet coefficients.
  • Introduced a method for determining lattice radius and scaling factor for uniform and piecewise-uniform pyramidal lattices.

Related Experiment Videos

Main Results:

  • The proposed algorithm adapts to subimage characteristics, achieving optimal rate-distortion performance.
  • No assumptions on lattice parameters, training, or multi-quantizing are required.
  • The wedge region problem is resolved, and the algorithm adapts to image variability and specified bit rates.

Conclusions:

  • The novel compression algorithm offers higher reconstructed image quality at identical bit rates compared to existing methods.
  • The adaptive nature and efficient quantization scheme make it suitable for fingerprint image compression applications.