Real-time iris detection

被引：1

作者：

Rizon, Mohamed ^{[1
]}

Yuen, Chai ^{[2
]}

AlMejrad, Ali ^{[1
]}

Alajlan, Naif ^{[3
]}

机构：

[1] King Saud Univ, Dept Biomed Technol, POB 10219, Riyadh 11433, Saudi Arabia

[2] UTAR, Dept Mech & Biomed Engn, Kuala Lumpur, Malaysia

[3] King Saud Univ, Dept Comp Engn, Adv Lab Intelligent Syst Res, Riyadh, Saudi Arabia

来源：

ARTIFICIAL LIFE AND ROBOTICS | 2010年 / 15卷 / 03期

关键词：

Face detection; Iris detection; Illumination normalization; Face recognition;

D O I：

10.1007/s10015-010-0811-x

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

A real-time algorithm to automatically detect human faces and irises from color images has been developed. A Haar cascade-based algorithm has been applied for simple and fast face detection. The face image is then converted into a gray-scale image. Three types of image processing techniques have been tested to study their effect on the performance of the iris detection algorithm. Then iris candidates are extracted from the valley of the face region. The iris candidates are paired up and the cost of each possible pairing is computed by a combination of mathematical models. The pairing with the lowest cost is considered to be a pair of irises. The algorithm has been tested by quality images from a Logitech camera and noisy images from a Voxx CCD camera. The proposed algorithm has achieved a success rate of 83.60% for iris detection in an open office environment.

引用

页码：296 / 301

页数：6

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