An improved WSQ fingerprint image compression algorithm

Author

Tang, Jinshan ; Liu, Xiaoming

Author_Institution

Dept. of Adv. Technol., Alcorn State Univ., Lorman, MS

fYear

2008

fDate

26-29 Oct. 2008

Firstpage

1267

Lastpage

1271

Abstract

The wavelet/scalar quantization (WSQ) [1] fingerprint image compression algorithm is effective and has been widely applied to fingerprint image compression. However, WSQ cannot control the compression ratio and its performance on fuzzy images is poor. We propose an improved WSQ fingerprint image compression algorithm to overcome the above shortcomings. Our algorithm uses a mixed quantizer so that the algorithm can treat fuzzy and non-fuzzy fingerprint images separately. In order to control the compression ration, an optimization parameters for a specific compression ratio. The proposed algorithm is compared with the traditional WSQ fingerprint image compression algorithm and the results are encouraging.

Keywords

fingerprint identification; fuzzy set theory; image coding; optimisation; quantisation (signal); wavelet transforms; WSQ fingerprint image compression algorithm; compression ratio; fuzzy images; optimization parameters; wavelet/scalar quantization; Compression algorithms; Fingerprint recognition; Image matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2008 42nd Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

978-1-4244-2940-0

Electronic_ISBN

1058-6393

Type

conf

DOI

10.1109/ACSSC.2008.5074621

Filename

5074621