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Fourth International Conference on Computer and Information Technology (CIT'04)
A Quality Evaluation Method of Iris Images Sequence Based on Wavelet Coefficients in "Region of Interest"
Wuhan, China
September 14-September 16
ISBN: 0-7695-2216-5
ASCII Text
x 
 
Xiao-Dong Zhu, Yuan-Ning Liu, Xing Ming, Qing-liang Cui, "A Quality Evaluation Method of Iris Images Sequence Based on Wavelet Coefficients in "Region of Interest"," Computer and Information Technology, International Conference on, pp. 24-27, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2004.1357169,
author = {Xiao-Dong Zhu and Yuan-Ning Liu and Xing Ming and Qing-liang Cui},
title = {A Quality Evaluation Method of Iris Images Sequence Based on Wavelet Coefficients in "Region of Interest"},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2216-5},
pages = {24-27},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357169},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - A Quality Evaluation Method of Iris Images Sequence Based on Wavelet Coefficients in "Region of Interest"
SN - 0-7695-2216-5
SP24
EP27
A1 - Xiao-Dong Zhu,
A1 - Yuan-Ning Liu,
A1 - Xing Ming,
A1 - Qing-liang Cui,
PY - 2004
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Xiao-Dong Zhu, JiLin University
Yuan-Ning Liu, JiLin University
Xing Ming, JiLin University
Qing-liang Cui, JiLin University
In this paper, a kind of analysis method using the wavelet coefficient in "region of interest (ROI)" is presented to evaluate the iris images sequence automatically. By use of Canny operator and Fast Hough transform, the outer edge of the iris section is fast and accurately located. The ROI is determined according to human visual system property, at the same time, the image with acquisition deformation is filtered. Consequently, the quality evaluation factor is computed by means of the wavelet coefficient in corresponded ROI, then the iris images sequence quality is evaluated combining with the factors, such as the area of iris section and its ratio to the one of pupil section, and the experiment results indicate the correctness and validity of the method.
Citation:
Xiao-Dong Zhu, Yuan-Ning Liu, Xing Ming, Qing-liang Cui, "A Quality Evaluation Method of Iris Images Sequence Based on Wavelet Coefficients in "Region of Interest"," cit, pp.24-27, Fourth International Conference on Computer and Information Technology (CIT'04), 2004
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