.png){kind=icon}
返回
An improved method for Daugman's iris localization algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compbiomed.2007.07.007.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Computer-based automatic recognition of persons for security reasons is highly desirable. Iris patterns provide an opportunity for separation of individuals to an extent that would avoid false positives and negatives. The current standard for this science is Daugman's iris localization algorithm. Part of the time required for analysis and comparison with other images relates to eyelid and eyelash positioning and length. We sought to remove the upper and lower eyelids and eyelashes to determine if separation of individuals could still be attained. Our experiments suggest separation can be achieved as effectively and more quickly by removing distracting and variable features while retaining enough stable factors in the iris to enable accurate identification. (C) 2007 Elsevier Ltd. All rights reserved.
Keyword:
iris
localization
inner boundary
outer boundary
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
8.4K
被引数:
3.3W
机构
引用论文
.png){kind=icon}
Statistical richness of visual phase information: Update on recognizing persons by iris patterns
PREAI
分享收藏
查看更多内容