Efficient Iris Segmentation Based on Converting Iris Images to High Dynamic Range Images

被引：0

作者：

Harifi, Sasan ^{[1
]}

Bastanfard, Azam ^{[2
]}

机构：

[1] Islamic Azad Univ, Qazvin Branch, Fac Elect Comp & IT Engn, Tehran, Iran

[2] Islamic Republ Iran Broadcast Univ, Fac Media Engn, Tehran, Iran

来源：

2015 SECOND INTERNATIONAL CONFERENCE ON COMPUTING TECHNOLOGY AND INFORMATION MANAGEMENT (ICCTIM) | 2015年

关键词：

Iris; High Dynamic Range; HDR images; Segmentation; Identification; Iris Recognition; RECOGNITION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Iris segmentation plays a very vital role for iris recognition. In the meantime, high quality image with many details has important role in segmentation. Using High Dynamic Range technique, image details can be increased. In this paper, using converting iris images into HDR iris images, segmentation operation is performed. Images are changed to different exposure manually, then are combined and produced HDR image. HDR images and normal images are tested and compared separately with available segmentation methods. Experiment results show that, the proposed method can segment iris images accurately and can be used for different types of iris images.

引用

页码：115 / 119

页数：5