An Iris preprocessing and segmentation procedures for Iris Recognition

被引：0
|
作者：
Walha, Faiza [1 ]
Khmila, Honda [2 ]
Khanfir Kallel, Imen [3 ]
机构：
[1] Univ Sfax, ISIMS, Cybern Team, OLID Lab, Sfax, Tunisia
[2] Univ Sfax, ENIG, ENIS, Cybern Team,CEM Lab,ISBS,Univ Gabes, Sfax, Tunisia
[3] Univ Sfax, IMT Atlantique, ENIS, Cybern Team,CEM Lab,ISBS,Tech Brest, Sfax, Tunisia
来源：
2022 8TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'22) | 2022年
关键词：
Iris Recognition; image preprocessing; segmentation;
D O I：
10.1109/CODIT55151.2022.9803947
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, a new method of Image preprocessing and segmentation based on the RGB space is presented. The method consists of preprocessing the images by cleaning and removing unnecessary areas then applying a double search for the darkest areas to find the iris and the pupil. For experimental results, the study is implemented on Iris@PBMLT dataset which is a new private IRIS dataset. The results are compared with those that are obtained by the classical integro-differential operator method. The obtained results showed that the proposed method has acceptable accuracy.
引用
收藏
页码：303 / 308
页数：6
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