ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding

doi:10.1007/s11633-022-1345-0

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding
	Kui-Kui Wang 1; Gong-Ping Yang 1,2; Lu Yang 3; Yu-Wen Huang2 ; Yi-Long Yin 1
发表期刊	Machine Intelligence Research
ISSN	2731-538X
	2023
卷号	20 期号:5 页码:697-706
摘要	Electrocardiogram (ECG) biometric recognition has gained considerable attention, and various methods have been proposed to facilitate its development. However, one limitation is that the diversity of ECG signals affects the recognition performance. To address this issue, in this paper, we propose a novel ECG biometrics framework based on enhanced correlation and semantic-rich embedding. Firstly, we construct an enhanced correlation between the base feature and latent representation by using only one projection. Secondly, to fully exploit the semantic information, we take both the label and pairwise similarity into consideration to reduce the influence of ECG sample diversity. Furthermore, to solve the objective function, we propose an effective and efficient algorithm for optimization. Finally, extensive experiments are conducted on two benchmark datasets, and the experimental results show the effectiveness of our framework.
关键词	Biometrics, matrix factorization, electrocardiogram (ECG), semantic information, enhanced correlation
DOI	10.1007/s11633-022-1345-0
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56004
专题	学术期刊_Machine Intelligence Research
作者单位	1.School of Software, Shandong University, Jinan 250101, China 2.School of Computer, Heze University, Heze 274015, China 3.School of Computer Science and Technology, Shandong Jianzhu University, Jinan 250101, China
推荐引用方式 GB/T 7714	Kui-Kui Wang,Gong-Ping Yang,Lu Yang,et al. ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding[J]. Machine Intelligence Research,2023,20(5):697-706.
APA	Kui-Kui Wang,Gong-Ping Yang,Lu Yang,Yu-Wen Huang,&Yi-Long Yin.(2023).ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding.Machine Intelligence Research,20(5),697-706.
MLA	Kui-Kui Wang,et al."ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding".Machine Intelligence Research 20.5(2023):697-706.

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