Title
Morphological Zerotree Compression Coding Based on Integer Wavelet Transform for Iris Image
Abstract
After comparing features of the EZW and the MRWD which are famous wavelet image compression code algorithm, we present an algorithm in view of iris texture characteristic. This algorithm is based on integer wavelet transformation while it has less bit planes, and wavelet coefficients do not need to be quantified, so the image can be completely recovered. Under the condition, we utilize the wavelet coefficient zerotree structure and the important wavelet coefficient clustering with similar statistical property which is based on bit plane decomposing, applying zerotree structure to express non-important wavelet coefficient effectively, using morphology cluster operation to simulate iris texture growth characteristic of important wavelet coefficient, realizing morphological zerotree compression. The experimental results indicate this algorithm has the higher compression rate and the better restoration effect and it can be applied effectively in iris identification.
Year
DOI
Venue
2007
10.1109/AINAW.2007.258
AINA Workshops (1)
Keywords
Field
DocType
eye,integer wavelet transformation,morphological zerotree compression,wavelet coefficient clustering,image coding,morphological zerotree compression coding,wavelet transforms,non-important wavelet coefficient,code algorithm,wavelet coefficient,zerotree compression coding,iris identification,data compression,integer wavelet transform,image recognition,important wavelet coefficient,biometrics (access control),wavelet coefficient zerotree structure,iris image,iris texture characteristic,famous wavelet image compression,higher compression rate,image texture,iris texture,iris recognition,clustering algorithms,image compression,knowledge engineering,morphology
Data compression ratio,Pattern recognition,Computer science,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet
Conference
Volume
ISBN
Citations 
1
978-0-7695-2847-2
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Yuan-Ning Liu116022.94
Xiaodong Zhu27310.24
Lingge Sui310.70
Zhen Liu412216.50