提取手掌静脉和手掌指纹的交集特征,用于可注销身份验证

IF 8.4 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE CAAI Transactions on Intelligence Technology Pub Date : 2024-01-11 DOI:10.1049/cit2.12277
Jaekwon Lee, Beom-Seok Oh, Kar-Ann Toh
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引用次数: 0

摘要

提出了一种基于掌静脉和掌纹跨模态交点特征的身份验证新方法。跨模态交叉点利用两种生物识别模式之间独特的几何关系,为身份验证提供了一组稳定的特征。为了便于灵活更换模板,提出了一种模板变换方法。在保持不可逆性的同时,模板变换允许的变换大小超出了传统方法所能提供的范围。我们利用三个公共手掌数据库进行了广泛的实验,以验证所提出的系统在身份识别方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Extraction of intersecting palm-vein and palmprint features for cancellable identity verification

A novel method based on the cross-modality intersecting features of the palm-vein and the palmprint is proposed for identity verification. Capitalising on the unique geometrical relationship between the two biometric modalities, the cross-modality intersecting points provides a stable set of features for identity verification. To facilitate flexibility in template changes, a template transformation is proposed. While maintaining non-invertibility, the template transformation allows transformation sizes beyond that offered by the conventional means. Extensive experiments using three public palm databases are conducted to verify the effectiveness the proposed system for identity recognition.

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来源期刊
CAAI Transactions on Intelligence Technology
CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
11.00
自引率
3.90%
发文量
134
审稿时长
35 weeks
期刊介绍: CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.
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