Evolved transforms beat the FBI wavelet for improved fingerprint compression and reconstruction

Authors:
Brendan Babb;Frank Moore;Michael Peterson
Affiliations:
Mathematical Sciences Department, University of Alaska Anchorage, Anchorage, AK;Mathematical Sciences Department, University of Alaska Anchorage, Anchorage, AK;Department of Computer Science and Engineering, Wright State University, Dayton, OH
Venue:
SIP'07 Proceedings of the 6th Conference on 6th WSEAS International Conference on Signal Processing - Volume 6
Year:
2007

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Abstract

This paper describes the evolution of new wavelet and scaling numbers for optimized transforms that consistently outperform the 9/7 discrete wavelet transform (DWT) for fingerprint compression and reconstruction.