The Two-Stage Recognition Method Based on Texture Signals of the Heterogeneous Unsteady Iris

Author:

Liu Shuai12,Liu Yuanning12,Zhu Xiaodong12,Liu Jing3,Huo Guang4,Zhou Zhiyong12

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun 130012, P. R. China

2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, P. R. China

3. College of Mathematics, Jilin University, Changchun 130012, P. R. China

4. College of Computer Science, Northeast Electric Power University, Jilin 132012, P. R. China

Abstract

In this paper, a two-stage multi-category recognition structure based on texture features is proposed. This method can solve the problem of the decline in recognition accuracy in the scene of lightweight training samples. Besides, the problem of recognition effect different in the same recognition structure caused by the unsteady iris can also be solved. In this paper’s structure, digitized values of the edge shape in the iris texture of the image are set as the texture trend feature, while the differences between the gray values of the image obtained by convolution are set as the grayscale difference feature. Furthermore, the texture trend feature is used in the first-stage recognition. The template category that does not match the tested iris is the elimination category, and the remaining categories are uncertain categories. Whereas, in the second-stage recognition, uncertain categories are adopted to determine the iris recognition conclusion through the grayscale difference feature. Then, the experiment results using the JLU iris library show that the method in this paper can be highly efficient in multi-category heterogeneous iris recognition under lightweight training samples and unsteady state.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jilin Province

Jilin Province Industrial Innovation Special Fund Project

Science and Technology Project of the Jilin Provincial Education Department

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data-knowledge driven: a new learning strategy for iris recognition;Multimedia Tools and Applications;2023-08-30

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