Advertisement

A Comparative Performance Analysis of JPEG 2000 vs. WSQ for Fingerprint Image Compression

  • Miguel A. Figueroa-Villanueva
  • Nalini K. Ratha
  • Ruud M. Bolle
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

The FBI Wavelet Scalar Quantization (WSQ) compression standard was developed by the US Federal Bureau of Investigation (FBI). The main advantage of WSQ-based fingerprint image compression has been its superiority in preserving the fingerprint minutiae features even at very high compression rates which standard JPEG compression techniques were unable to preserve. With the advent of JPEG 2000 image compression technique based on Wavelet transforms moving away from DCT-based methods, we have been motivated to investigate if the same advantage still persists. In this paper, we describe a set of experiments we carried out to compare the performance of WSQ with JPEG 2000. The performance analysis is based on three public databases of fingerprint images acquired using different imaging sensors. Our analysis shows that JPEG 2000 provides better compression with less impact on the overall system accuracy performance.

Keywords

Root Mean Square Error Image Compression Wavelet Packet Fingerprint Image False Reject Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Federal Bureau of Investigation, “WSQ Gray-Scale Fingerprint Image Compression Specification,” Document No. IAFIS-IC-0110 (v2), Feb. 1993, Drafted by T. Hopper, C.M. Brislawn and J. N. Bradley.Google Scholar
  2. [2]
    T. Hopper and F. Preston, “Compression of grey-scale fingerprint images,” in Proceedings Data Compression Conference, Snowbird, UT, March 1992, pp. 309–318, IEEE Computer Society.Google Scholar
  3. [3]
    W.B. Pennebaker and J. L. Mitchell, “The JPEG Still Image Data Compression Standard,” in Van Nostrand-Reinhold, 1993.Google Scholar
  4. [4]
    C.M. Brislawn, The FBI Fingerprint Image Compression Standard, http://www.c3.lanl.gov/~brislawn/FBI/FBI.html.
  5. [5]
    M. Boliek, C. Christopoulos, and Majani E. (editors), “JPEG2000 Part I Final Draft International Standard,” Aug. 2000, number ISO/IEC FDIS 15444-1, ISO/IEC JTC1/SC29/WG1 N1855.Google Scholar
  6. [6]
    C.M. Brislawn, J.N. Bradley, R. J. Onyshezak, and T. Hopper, “The FBI compression standard for digitized fingerprint images,” in Proc. SPIE, Denver, CO, Aug. 1996, vol. 2847, pp. 344–355.Google Scholar
  7. [7]
    M. Shnaider and A.P. Paplinski, “Compression of fingerprint images using wavelet transform and vector quantization,” in ISSPA-96, Gold Coast, Australia, August 1996, pp. 437–440.Google Scholar
  8. [8]
    E. Jang and W. Kinsner, “Multifractal Wavelet Compression of Fingerprints,” in Proceedings of IEEE Communications, Power and Computing Conference, Winnipeg, MB, May 1997, pp. 313–321.Google Scholar
  9. [9]
    S. Kasaei and M. Deriche, “Fingerprint Compression using a Piecewise-Uniform Pyramid Lattice Vector Quantization,” in ICASSP-97, Munich, Germany, April 1997, pp. 3117–3120.Google Scholar
  10. [10]
    M.D. Adams, JasPer Software Reference Manual, 2000, http://www.ece.uvic.ca/~mdadams/jasper/jasper.pdf.

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Miguel A. Figueroa-Villanueva
    • 1
  • Nalini K. Ratha
    • 1
  • Ruud M. Bolle
    • 1
  1. 1.IBM Thomas.J. Watson Research CenterNew YorkUSA

Personalised recommendations