首页> 外文OA文献 >On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks

【2h】

On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks

机译：关于激光散斑对比度成像和深神经网络检测已知和未知指纹呈现攻击的有效性

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Hengameh Mirzaalian; Mohamed Hussein; Wael Abd-Almageed;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. An Innovative and Efficient Approach for Detecting Unknown Attacks Using Feature Extraction Scheme and Fuzzy-Neural Networks [J] . Vikas Belwal, Sandip Mandal International Journal of Computer Trends and Technology . 2015,第2期

机译：利用特征提取方案和模糊神经网络的创新高效检测未知攻击的方法
2. Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks [J] . Lázaro Janier González-Soler, Marta Gomez-Barrero, Leonardo Chang, Quality Control, Transactions . 2021,第1期

机译：基于本地特征编码未知攻击的指纹呈现攻击检测
3. Hybrid convolutional neural network (CNN) and long-short term memory (LSTM) based deep learning model for detecting shilling attack in the social-aware network [J] . Vivekanandan K., Praveena N. Journal of ambient intelligence and humanized computing . 2021,第1期

机译：混合卷积神经网络（CNN）和基于长短短期存储器（LSTM）的深度学习模型，用于检测社交意识网络的先令攻击
4. On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks [C] . Hengameh Mirzaalian, Mohamed Hussein, Wael Abd-Almageed International Conference on Biometrics . 2019

机译：激光散斑对比度成像和深度神经网络在检测已知和未知指纹演示攻击中的有效性
5. Application of Vertical-Cavity Surface-Emitting Lasers for Simultaneous Laser Speckle Contrast and Intrinsic Optical Signal Imaging: Toward Chronic Portable Cortical Hemodynamic Imaging. [D] . Ringuette, Dene. 2012

机译：垂直腔面发射激光器在同时进行激光散斑对比度和内在光信号成像中的应用：走向慢性便携式皮层血流动力学成像。
6. Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks [O] . Hokuto Hirano, Kazuki Koga, Kazuhiro Takemoto 2020

机译：深度神经网络检测Covid-19患者胸部X射线图像中的易受伤害性普遍普遍攻击
7. Hydrofluoroether Impurities—Chemical Detection Using a Deep Learning Laser Speckle Contrast Evolving Spiking Neural Network [O] . Ali Syariati Mohd Salleh, Haza Nuzly Abdul Hamed, Mohd Adham Isa, 2020

机译：氢氟醚杂质 - 化学检测使用深度学习激光散斑对比不断发展尖刺神经网络

On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks

著录项

引文网络

相似文献

相关主题

期刊订阅