Iris Recognition System Techniques: A Literature Survey and Comparative Study

被引：6

作者：

Farouk, Rahmatallah Hossam ^{[1
]}

Mohsen, Heba ^{[1
]}

Abd El-Latif, Yasser M. ^{[2
,3
]}

机构：

[1] Future Univ Egypt, Fac Comp & Informat Technol, Comp Sci Dept, New Cairo, Egypt

[2] Arab Acad Sci Technol & Maritime Transport, Coll Comp & Informat Technol, Cairo, Egypt

[3] Ain Shams Univ, Fac Sci, Cairo, Egypt

来源：

5TH INTERNATIONAL CONFERENCE ON COMPUTING AND INFORMATICS (ICCI 2022) | 2022年

关键词：

Biometrics; Iris Recognition; Convolutional Neural Network; Hough Transform;

D O I：

10.1109/ICCI54321.2022.9756079

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main objective of this comparative study is to present a comprehensive review of literature on one of the biometric identification systems namely the iris recognition system. Biometric authentication has been introduced as one of the most fundamental security technologies. As most human phenotypes are unique, physiological features such as fingerprints, iris color, facial patterns, and geometry are used as security passwords. Because of its dependability, iris receives the greatest attention in the authentication. The segmentation, border defining, feature extraction, and matching methods are analyzed in this work. Most of the used iris datasets are also presented in the paper. The purpose of this research is to investigate current iris recognition systems and describe their phases.

引用

页码：194 / 199

页数：6

共 16 条

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