基于集成学习的虹膜分割算法

doi:10.16180/j.cnki.issn1007-7820.2025.03.012

Abstract

Abstract:

In view of the problems such as inaccurate detail segmentation, unsmooth boundary segmentation and easy to be affected by noise, an iris segmentation algorithm based on ensemble learning is proposed in this study. Compared with the traditional ensemble learning algorithm, the appropriate model is selected as the base learner based on Pearson coefficient method, so as to improve the performance of ensemble learning. U²-Net, DeepLabv3+ and PSPNet are selected as homogeneous individual learners to train on the CASIA-Iris-Interval dataset, and the corresponding iris segmentation prediction results are obtained. CLAHE and Gamma correction and other image enhancement operations are performed to obtain a new prediction result graph. Weighted average method is selected as an integrated algorithm to integrate the prediction results of the basis learner, so as to obtain the final prediction results of iris segmentation. The test results show that the accuracy of the proposed algorithm is improved by 1%, the average crossover ratio is improved by 3.8%, the average macro score is improved by 2.4%, and the visual effect and objective evaluation index have better segmentation effect when compared with the base learner under three different evaluation indexes.

Key words: iris egmentation, integrated learning, learner, U²-Net, DeepLabv3+, PSPNet, Pearson coefficient method, image processing

CLC Number:

TP391.4

SUN Jiaqian, ZHU Jinrong, ZHANG Xiaobao, ZHANG Yunkai, GONG Weijuan. Research on Iris Segmentation Algorithm Based on Ensemble Learning[J].Electronic Science and Technology, 2025, 38(3): 88-94.

Figures/Tables 11

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References 18

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模型	U²-Net	DeepLabv3+	PSPNet
U²-Net	1.00	0.69	0.72
DeepLabv3+	0.69	1.00	0.85
PSPNet	0.72	0.85	1.00

方法	Acc/%	MIoU/%	mF1/%
U²-Net	96.8	93.4	96.5
DeepLabv3+	97.4	93.2	96.4
PSPNet	97.8	94.5	97.1
集成学习	97.8	96.7	98.8

方法	Acc/%	MIoU/%	mF1/%
U²-Net	97.8	93.9	97.4
DeepLabv3+	96.8	93.1	96.3
PSPNet	97.6	94.7	97.3
集成学习	97.8	96.9	97.7

Research on Iris Segmentation Algorithm Based on Ensemble Learning

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