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基于霍夫变换的可见光虹膜图像定位

穆珺 晏峻峰 彭清华 费洪晓

计算机技术与发展2017,Vol.27Issue(5):40-45,6.
计算机技术与发展2017,Vol.27Issue(5):40-45,6.DOI:10.3969/j.issn.1673-629X.2017.05.009

基于霍夫变换的可见光虹膜图像定位

Iris Localization for Visible-light Images Based on Hough Transform

穆珺 1晏峻峰 1彭清华 1费洪晓2

作者信息

  • 1. 湖南中医药大学 数字中医药协同创新中心,湖南 长沙 410208
  • 2. 中南大学 软件学院,湖南 长沙 410075
  • 折叠

摘要

Abstract

As a crucial step in iris recognition,the iris localization algorithms,especially those dealing with iris images taken in visible-light under non-ideal imaging conditions have received increasing attention recently.A localization algorithm for visible-light iris images has been proposed to enhance the accuracy of iris localization.The strategy of localizing limbic boundary has been determined which is carried out from out boundary to inner verge of iris to promote the accuracy of boundary location.To solve the problem in localizing limbic boundary,the prior of color distribution has been utilized to remove the noise in the edge map of the iris image for increase of the accuracy and speed of limbic boundary localization.Therefore,the relevance between center positions of iris and pupil has been utilized to instruct the pupil boundary localization and the reflections in pupil region have been detected and removed with Hough transform on distance limitation to eliminate the noise effects and to reduce computation time via estimation of the pupil radius and center.Experimental results demonstrate that the localization accuracy of the proposed method is higher than traditional methods and has more capabilities such as dealing with iris images with occlusion,blur imaging,low contrast and interfering texture.

关键词

虹膜定位/可见光虹膜图像/颜色分布先验/霍夫变换

Key words

iris localization/visible-light iris images/prior of color distribution/Hough transform

分类

信息技术与安全科学

引用本文复制引用

穆珺,晏峻峰,彭清华,费洪晓..基于霍夫变换的可见光虹膜图像定位[J].计算机技术与发展,2017,27(5):40-45,6.

基金项目

国家中医药管理局中医药信息学重点学科建设项目 ()

国家中医药管理局中医眼科学重点学科建设项目 ()

国家重点学科中医诊断学开放基金(2013ZYZD08) (2013ZYZD08)

2013年湖南省高校创新平台开放基金(13K076) (13K076)

计算机技术与发展

OACSTPCD

1673-629X

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