The best fingerprint compression standard yet

Author

Babb, Brendan ; Moore, Frank

Author_Institution

Univ. of Alaska Anchorage, Anchorage

fYear

2007

fDate

7-10 Oct. 2007

Firstpage

2911

Lastpage

2916

Abstract

Modern fingerprint compression and reconstruction standards, such as those used by the US Federal Bureau of Investigation FBI), are based upon the 9/7 discrete wavelet transform. This paper describes how a genetic algorithm was used to evolve wavelet and scaling numbers for each level of a multiresolution analysis (MRA) transform that consistently outperforms the 9/7 wavelet for fingerprint compression and reconstruction tasks. Our evolved transforms also improve upon wavelets optimized by a genetic algorithm via the lifting scheme, and thus establish a new state-of-the-art in this important application area.

Keywords

data compression; discrete wavelet transforms; fingerprint identification; genetic algorithms; image coding; image reconstruction; image resolution; discrete wavelet transform; fingerprint compression standard; fingerprint reconstruction standard; genetic algorithm; multiresolution analysis transform; Discrete wavelet transforms; Fingerprint recognition; Genetic algorithms; History; Hydrogen; Image reconstruction; Military computing; Multiresolution analysis; Quantization; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

978-1-4244-0990-7

Electronic_ISBN

978-1-4244-0991-4

Type

conf

DOI

10.1109/ICSMC.2007.4414224

Filename

4414224