中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
OTB-morph: One-time Biometrics via Morphing

文献类型:期刊论文

作者Mahdi Ghafourian; Julian Fierrez; Ruben Vera-Rodriguez; Aythami Morales; Ignacio Serna
刊名Machine Intelligence Research
出版日期2023
卷号20期号:6页码:855-871
关键词Biometrics, face recognition, template protection, morphing, security
ISSN号2731-538X
DOI10.1007/s11633-023-1432-x
英文摘要Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition systems. This transformation is repeatable enabling subsequent biometric comparisons. This paper introduces a new idea to be exploited as a transformation function for cancelable biometrics aimed at protecting templates against iterative optimization attacks. Our proposed scheme is based on time-varying keys (random biometrics in our case) and morphing transformations. An experimental implementation of the proposed scheme is given for face biometrics. The results confirm that the proposed approach is able to withstand leakage attacks while improving the recognition performance.
源URL[http://ir.ia.ac.cn/handle/173211/56014]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Biometrics and Data Pattern Analytics Laboratory (BiDA Lab), Universidad Autonoma de Madrid, Madrid 28049, Spain
推荐引用方式
GB/T 7714
Mahdi Ghafourian,Julian Fierrez,Ruben Vera-Rodriguez,et al. OTB-morph: One-time Biometrics via Morphing[J]. Machine Intelligence Research,2023,20(6):855-871.
APA Mahdi Ghafourian,Julian Fierrez,Ruben Vera-Rodriguez,Aythami Morales,&Ignacio Serna.(2023).OTB-morph: One-time Biometrics via Morphing.Machine Intelligence Research,20(6),855-871.
MLA Mahdi Ghafourian,et al."OTB-morph: One-time Biometrics via Morphing".Machine Intelligence Research 20.6(2023):855-871.

入库方式: OAI收割

来源:自动化研究所

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