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作 者:Jaekwon Lee Beom-Seok Oh Kar-Ann Toh
机构地区:[1]School of Electrical and Electronic Engineering,Yonsei University,Seoul,Republic of Korea [2]Department of Applied Artificial Intelligence,Seoul National University of Science and Technology,Seoul,Republic of Korea
出 处:《CAAI Transactions on Intelligence Technology》2024年第1期69-86,共18页智能技术学报(英文)
基 金:National Research Foundation of Korea funded by the Ministry of Education,Science and Technology,Grant/Award Number:NRF-2021R1A2C1093425。
摘 要: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 con-ventional means.Extensive experiments using three public palm databases are conducted to verify the effectiveness the proposed system for identity recognition.
关 键 词:BIOMETRICS hand vein recognition hand-based biometrics multi-biometrics palmprint recognition
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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