2020TIFS-一种生成多模态可取消生物特征模板的自适应加权图方法

Adaptive Weighted Graph Approach to Generate Multimodal Cancelable Biometric Templates

2020年，TIFS，CCF A刊，原文地址：Adaptive Weighted Graph Approach to Generate Multimodal Cancelable Biometric Templates | IEEE Journals & Magazine | IEEE Xplorehttps://ieeexplore.ieee.org/document/8907867

G. S. Walia, G. Jain, N. Bansal and K. Singh, "Adaptive Weighted Graph Approach to Generate Multimodal Cancelable Biometric Templates," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 1945-1958, 2020, doi: 10.1109/TIFS.2019.2954779.

研友的文章(32条消息) 读《Adaptive Weighted Graph Approach to Generate Multimodal Cancelable Biometric Templates》_Mighty_Crane的博客-CSDN博客https://blog.csdn.net/weixin_40459958/article/details/120628221

生物特征识别系统面临两个问题：（1）模板数据库泄露

（2）呈现攻击（例如来自合法用户的面罩、手指等）

为了保护生物特征数据，引入可取消生物特征的概念，