DocumentCode
2260107
Title
A Novel Registration Approach Based on Curve Fitting Technique for Iris Images
Author
Lu, Yinghua ; Li, Mingjie ; Song, Baoling ; Liu, Xiaofei ; Kong, Jun
Author_Institution
Comput. Sch., Northeast Normal Univ., Changchun, China
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
467
Lastpage
471
Abstract
Iris registration aims at processing many iris images which collected from the same person, these images are different in pupil size, texture and so on. The study in this research field is very valuable. In this paper we have proposed that apply curve fitting technology in iris registration. First, the Harris corner detection has been employed to check the feature of iris images, followed we have combined the local jet and LBP approach to obtain some potential matching points between iris images, then according to the ratio of the Euclidean-distance from the matched points to the center of each pupil we have drawn the plot. Finally we have done the curve fitting, using the curves to estimate transform model and acquired the iris registration images. The experimental results have shown that our method is more accurate and more close to source image than traditional method which found in current literature.
Keywords
Hough transforms; computational geometry; curve fitting; edge detection; feature extraction; image matching; image registration; image texture; Euclidean-distance ratio; Harris corner detection; Hough transform model; LBP approach; curve fitting technique; feature matching point; image texture; iris image registration approach; local jet approach; Application software; Computer vision; Curve fitting; Data mining; Image registration; Image sensors; Image texture analysis; Information technology; Iris; Layout; Curve fitting; Harris corner detection; Iris registration; Local jet and LBP;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.352
Filename
4739617
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