Iris recognition algorithm based on feature weighted fusion

被引：0

作者：

Liu Y.-N. ^{[1
,2
]}

Liu S. ^{[1
,3
]}

Zhu X.-D. ^{[1
,2
]}

Liu T.-H. ^{[4
]}

Yang X. ^{[1
,3
]}

机构：

[1] Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun

[2] College of Computer Science and Technology, Jilin University, Changchun

[3] College of Software, Jilin University, Changchun

[4] Electronic Information Products Supervision Inspection Institute of Jilin Province, Changchun

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2019年 / 49卷 / 01期

关键词：

2D-Haar wavelet; Artificial intelligence; Dichotomous statistical local binary pattern; Feature weighted fusion; Hamming distance; Principal component analysis(PCA);

D O I：

10.13229/j.cnki.jdxbgxb20171022

中图分类号：

学科分类号：

摘要：

The features of single iris are relatively simple, which can easily lead to the inaccurate iris recognition. To solve this problem, the feature weighted fusion is used to represent the iris texture in this paper. First, the iris texture spatial domain features and frequency domain features are extracted using Principal Component Analysis (PCA) to reduce noise and redundancy. Second, Dichotomous Statistical Local Binary Pattern (DSLB) is used to represent variation rule of iris texture gray value, forming spatial domain feature code; and for frequency domain features, 2D-Haar wavelet is used to extract the high frequency coefficients of iris feature and form frequency domain feature code. Third, the Hamming distances of the two feature codes are calculated respectively and multiplied by the corresponding weighted factors. Finally, the iris category is determined by comparison with the set classification threshold. A variety of iris libraries are used to compare the performance of proposed algorithm with other iris recognition algorithms. Experiment results show that the proposed algorithm has more advantages in recognition rate, equal error rate and stability. © 2019, Editorial Board of Jilin University. All right reserved.

引用

页码：221 / 229

页数：8

共 23 条

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