A SURVEY ON IRIS SEGMENTATION METHODS

被引：0

作者：

Jayalakshmi, S. ^{[1
]}

Sundaresan, M. ^{[1
]}

机构：

[1] Bharathiar Univ, Dept Informat Technol, Coimbatore 46, Tamil Nadu, India

来源：

2013 INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, INFORMATICS AND MEDICAL ENGINEERING (PRIME) | 2013年

关键词：

Iris segmentation; Iris Recognition; Circle Hough transform; Fourier Spectral Density; Iris image quality; Dempster-Shafer theory;

D O I：

暂无

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 paper, we have studied various well known Iris Segmentation algorithms which are used for the purpose of Iris recognition. We have gone through many algorithms based on Fourier spectral density, Limbic boundary localization, Gradient-Based edge detection and linking, Dempster-Shafer theory, Pupil detection, Fourier spectral density which will help us for accurate and efficient iris segmentation. In this paper we made a comparison of the results obtained from the implementation of existing algorithms, which will produce better result for segmentation with improved accuracy rate using the CASIA, WVU and UBIRIS databases.

引用

页数：6