找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Selfie Biometrics; Advances and Challen Ajita Rattani,Reza Derakhshani,Arun Ross Book 2019 Springer Nature Switzerland AG 2019 Biometrics.M

[复制链接]
发表于 2025-3-23 13:31:43 | 显示全部楼层
发表于 2025-3-23 16:25:49 | 显示全部楼层
发表于 2025-3-23 21:12:03 | 显示全部楼层
Active Authentication on Mobile Devicesivacy in mobile devices becomes vital as the loss of a mobile device could compromise personal information of the user. To deal with this problem, Active Authentication (AA)  systems have been proposed in the literature where users are continuously monitored after the initial access to the mobile de
发表于 2025-3-23 23:25:14 | 显示全部楼层
发表于 2025-3-24 06:24:36 | 显示全部楼层
发表于 2025-3-24 09:19:16 | 显示全部楼层
Biometric Template Protection on Smartphones Using the Manifold-Structure Preserving Feature Represeol to personal services. The use of biometric data on smartphones introduces the need for capturing and storage of biometric data such as face images. Unlike the traditional passwords used for many services, biometric data once compromised cannot be replaced. Therefore, the biometric data not only s
发表于 2025-3-24 14:23:11 | 显示全部楼层
Super-resolution for Selfie Biometrics: Introduction and Application to Face and Irisometrics. After an introduction to the generic topic of super-resolution, we investigate methods adapted to cater for the particularities of these two modalities. By experiments, we show the benefits of incorporating super-resolution to improve the quality of biometric images prior to recognition.
发表于 2025-3-24 15:21:57 | 显示全部楼层
Soft-Biometric Attributes from Selfie Imagesraits. Due to the limited hardware resources, low resolution of front-facing cameras, and the usage of the device in different environmental conditions, factors such as robustness to low-quality data, consent-free acquisition, lower computational complexity, and privacy, favor soft-biometric prediction in mobile devices.
发表于 2025-3-24 21:59:16 | 显示全部楼层
发表于 2025-3-25 01:15:25 | 显示全部楼层
Sex-classification from Cellphones Periocular Iris Imagesstate of the art and show that when improving image resolution with the SRCNN the sex-classification rate increases. Additionally, a novel selfie database captured from 150 subjects with an iPhone X was created (available upon request).
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-7 21:00
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表