Title :
An improved WSQ fingerprint image compression algorithm
Author :
Tang, Jinshan ; Liu, Xiaoming
Author_Institution :
Dept. of Adv. Technol., Alcorn State Univ., Lorman, MS
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;
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2008.5074621
