Iris Identification Technology Based on Multiwavelets |
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| Authors: | Wei Lian-xin Ma Fu-ming Xu Tao Li Zhi-hui Wu Deng-feng |
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| Affiliation: | Wei Lian-xin(Institute of Mathematics, Qianwei Campus, Jilin University, Changchun 130012, P. R. China)；Ma Fu-ming(Institute of Mathematics, Qianwei Campus, Jilin University, Changchun 130012, P. R. China)；Xu Tao(College of Mechanical Science and Engineering, Nanling Campus, Jilin University, Changchun 130022, P. R. China)；Li Zhi-hui(College of Computer Science and Technology, Qianwei Campus, Jilin University, Changchun 130012, P. R. China)；Wu Deng-feng(College of Mechanical Science and Engineering, Nanling Campus, Jilin University, Changchun 130022, P. R. China)； |
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| Abstract: | ![]()
A new method for iris identification based on multiwavelets is proposed. By means of the properties of multiwavelets, such as orthogonality, symmetry, vanishing moments and approximation order, the iris texture can be simply presented. A brief overview of muhiwavelets is presented at first. Iris identification system and iris texture feature presentation and recognition based on multiwavelets a,e introduced subsequently. And the experiment indicates the validity of this method finally. |
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| Keywords: | multiwavelets iris identification texture feature |
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