Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

870
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
870

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Trends and Prospects of Biometrics: From Sensing to Perception and Cognition.

Sensors (Basel, Switzerland)·2026
Same author

A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets.

Sensors (Basel, Switzerland)·2024
Same author

GMLM-CNN: A Hybrid Solution to SWIR-VIS Face Verification with Limited Imagery.

Sensors (Basel, Switzerland)·2022
Same author

Study Protocol: Sleep Effects on Poststroke Rehabilitation Study.

Nursing research·2022

相关实验视频

Updated: Jun 26, 2025

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies
06:16

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies

Published on: July 28, 2023

2.5K

虹膜图案的独特性基于自动回归模型.

Natalia A Schmid1, Matthew C Valenti1, Katelyn M Hampel1

  • 1Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

这项研究引入了一种新的虹膜识别方法,使用高斯代码词来评估独特性. 它建立了基于图像质量和相对的虹膜群体大小的理论界限.

关键词:
伯格的频谱估计.这是IrisCode的代码.自动回归模型的自动回归模型二进制检测问题 二进制检测问题人口最大数量的人口最大数量球体包装绑定的球体包装

更多相关视频

Puncture-Induced Iris Neovascularization as a Mouse Model of Rubeosis Iridis
06:57

Puncture-Induced Iris Neovascularization as a Mouse Model of Rubeosis Iridis

Published on: March 8, 2018

8.8K
A System for Culturing Iris Pigment Epithelial Cells to Study Lens Regeneration in Newt
06:56

A System for Culturing Iris Pigment Epithelial Cells to Study Lens Regeneration in Newt

Published on: June 22, 2011

11.8K

相关实验视频

Last Updated: Jun 26, 2025

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies
06:16

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies

Published on: July 28, 2023

2.5K
Puncture-Induced Iris Neovascularization as a Mouse Model of Rubeosis Iridis
06:57

Puncture-Induced Iris Neovascularization as a Mouse Model of Rubeosis Iridis

Published on: March 8, 2018

8.8K
A System for Culturing Iris Pigment Epithelial Cells to Study Lens Regeneration in Newt
06:56

A System for Culturing Iris Pigment Epithelial Cells to Study Lens Regeneration in Newt

Published on: June 22, 2011

11.8K

科学领域:

  • 生物识别信息 生物识别信息
  • 计算机科学 计算机科学
  • 信息理论 信息理论

背景情况:

  • 虹膜识别系统依赖于独特的虹膜图案进行识别.
  • 目前的系统面临着可扩展性和稳健性的挑战.
  • 对于虹膜的独特性,需要一个理论框架来提高系统性能.

研究的目的:

  • 通过非线性映射到高斯代码词来评估假设虹膜识别系统的独特性.
  • 根据虹膜数据表示,开发虹膜群体大小的理论边界.
  • 建立一个高性能虹膜识别的框架.

主要方法:

  • 虹膜数据的非线性映射到具有独立组件的高斯代码单词空间.
  • 对高斯密码词的球体包装和多格曼式边界的应用.
  • 使用自动回归模型进行虹膜数据预处理和分析.
  • 通过相对来测量代码词距离,作为虹膜质量的度量.

主要成果:

  • 描述最大的虹膜群作为不同虹膜类别之间的相对的函数.
  • 使用两个小虹膜图像数据集来展示该方法.
  • 呈现与图像质量相关的最大可持续人口 (相对).

结论:

  • 拟议的非线性映射和高斯代码词表示为虹膜独特性评估提供了一个理论框架.
  • 相对作为虹膜质量的可行的衡量标准,也是系统可扩展性的决定因素.
  • 自动回归模型为开发先进的虹膜识别系统提供了一个基本方法.