Pattern matching for the iris biometric recognition system uses KNN and fuzzy logic classifier techniques

被引：2

作者：

Chirchi V. ^{[1
]}

Chirchi E. ^{[2
]}

Chirchi K.E. ^{[3
]}

机构：

[1] ISE Department, The Oxford College of Engineering, Bengaluru

[2] ISE Department, Don Bosco Institute of Technology, Bengaluru

[3] Dayanand Sagar University, Bengaluru

来源：

International Journal of Information Technology | 2024年 / 16卷 / 5期

关键词：

Enhanced isocentric segmentor; Fuzzy logic; Iris recognition; Isophotes; KNN; Wavelet rectangular coder;

D O I：

10.1007/s41870-023-01710-z

中图分类号：

学科分类号：

摘要：

This research introduces novel iris biometric authentication methods employing wavelength rectangular coding (WRC) and enhanced isocentric segmentation (EISOS). By categorizing feature vectors from established datasets (CASIA, MMU, and UBIRIS) using KNN and fuzzy logic, our findings showcase heightened accuracy and decreased false acceptance and rejection rates compared to current methods, signifying advancements in secure person identification. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

引用

页码：2937 / 2944

页数：7

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