Abstract | ||
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The existing iris location algorithms are of low executing speed and poor robustness. In order to improve the accuracy of iris location, an iris location algorithm based on gradient direction information is proposed according to both the ring structural characteristics of iris and the gray distribution features of eye image in this paper. Experiments shows that the algorithm is effective and can improve the speed and accuracy of iris location. |
Year | DOI | Venue |
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2009 | 10.1109/ETT.2009.21 | ETT |
Keywords | DocType | ISBN |
existing iris location algorithm,outer boundary of iris,image processing,iris location,poor robustness,gray distribution feature,iris location algorithm,gradient direction information,biometrics (access control),inner boundary of iris,eye image,ring structural characteristic,gray distribution features,data mining,accuracy,iris recognition,pixel,iris | Conference | 978-1-4244-5527-0 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhiwen Wang | 1 | 4 | 1.31 |
Shaozi Li | 2 | 403 | 54.27 |
Guoqing Xie | 3 | 0 | 0.34 |
Song-zhi Su | 4 | 61 | 8.53 |