A dynamic non-circular iris localization technique for non-ideal data

被引：19

作者：

Jan, Farmanullah ^{[1
,3
]}

Usman, Imran ^{[2
]}

Khan, Shahid A. ^{[1
]}

Malik, Shahzad A. ^{[1
]}

机构：

[1] COMSATS, Inst Informat Technol, Dept Elect Engn, Islamabad 44000, Pakistan

[2] COMSATS, Inst Informat Technol, Ctr Adv Studies Telecommun, Islamabad 44000, Pakistan

[3] COMSATS, Inst Informat Technol, Dept Phys, Islamabad 44000, Pakistan

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2014年 / 40卷 / 08期

关键词：

HOUGH TRANSFORM; RECOGNITION; HISTOGRAM;

D O I：

10.1016/j.compeleceng.2014.05.004

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Iris localization plays a decisive role in the overall iris biometric system's performance, because it isolates the valid part of iris. This study proposes a reliable iris localization technique. It includes the following. First, it extracts the iris inner contour within a sliding-window in an eye image using a multi-valued adaptive threshold and the two-dimensional (2D) properties of binary objects. Then, it localizes the iris outer contour using an edge-detecting operator in a sub image centered at the pupil center. Finally, it regularizes the iris contours to compensate for their non-circular structure. The proposed technique is tested on the following public iris databases: CASA V1.0, CASIA-Iris-Lamp, IITD V1.0, and the MMU V1.0. The experimental and accuracy results of the proposed scheme compared with other state-of-the-art techniques endorse its satisfactory performance. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：215 / 226

页数：12

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