New Method of Iris Recognition Using Dual Tree Complex Wavelet Transform

被引：4
|
作者：
Ignat, Anca [1 ]
Luca, Mihaela [2 ]
Ciobanu, Adrian [2 ]
机构：
[1] Alexandru Ioan Cuza Univ, Fac Comp Sci, Iasi, Romania
[2] Romanian Acad, Inst Comp Sci, Iasi, Romania
来源：
SOFT COMPUTING APPLICATIONS, (SOFA 2014), VOL 2 | 2016年 / 357卷
关键词：
Iris images; Lab color space; Dual Tree Complex Wavelet Transform; Texture; Identification;
D O I：
10.1007/978-3-319-18416-6_67
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We used an iris image collection derived from UPOL (University Palacky, OLomouc) database to test iris image identification with a new method. We extracted texture information from a and b components of Lab converted images. We circularly scrolled the iris, extracting, at equal angles, square areas to which we applied dual-tree complex wavelet transform (DTCWT). In order to compute features, we used the average energy of all the DTCWT coefficients for each subimage. We compared the feature vectors using the Euclidean and the Hamming distances. Our results are comparable to those obtained with Daugman's algorithm.
引用
收藏
页码：851 / 862
页数：12
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