西安交通大学学报（医学版）2026，Vol.47Issue(2)：214-223,10.DOI:10.7652/jdyxb202602004
基于掌纹特征与远程光电容积描记技术信号的多模态活体检测方法及其性能评估
A multimodal liveness detection method based on palmprint features and remote photoplethysmography signals and its performance evaluation
摘要
Abstract
Objective To investigate a novel liveness detection method by fusing palmprint features with photoplethysmography(PPG)signals,so as to enhance the anti-spoofing capability of palm-based biometric systems and evaluate its detection accuracy and applicability.Methods A multimodal liveness detection scheme integrating palmprint and PPG characteristics was designed.A high-definition camera was used to capture experimental samples under various lighting conditions and spoofing attacks.An approach combining image processing and temporal signal analysis was employed to extract PPG signals from palm videos while concurrently extracting palmprint features for identity verification.The performance of the method was systematically evaluated regarding signal extraction accuracy,stability,anti-interference capability,and liveness detection accuracy.Results Experimental validation across diverse samples and spoofing attack conditions demonstrated that the method could stably extract PPG signals.The signal strength showed a high correlation with signals obtained from standard measurement devices.The results indicated that the proposed multimodal liveness detection method,based on the fusion of palmprint features and PPG signals,could effectively identify liveness characteristics under different physiological states,thus achieving a liveness detection accuracy rate of over 90%.Conclusion This study proposes a multimodal liveness detection method based on the fusion of palmprint features and PPG signals.By integrating static palmprint information with dynamic PPG signals,it significantly enhances the security,stability,and robustness of palm-based biometric recognition systems.关键词
生物特征识别/活体检测/脉搏波信号/掌纹识别Key words
biometric recognition/liveness detection/pulse wave signal/palmprint recognition分类
信息技术与安全科学引用本文复制引用
裴正福,邵会凯,徐胜军,钟德星..基于掌纹特征与远程光电容积描记技术信号的多模态活体检测方法及其性能评估[J].西安交通大学学报（医学版）,2026,47(2):214-223,10.基金项目
国家自然科学基金资助项目(No.62376211 （）
No.62206218) （）
浙江省自然科学基金资助项目(No.LTGG23F030006) （No.LTGG23F030006）
陕西省技术创新引导计划资助项目(No.2024ZC-YYDP-24)Supported by the National Natural Science Foundation of China(No.62376211,62206218),Natural Science Foundation of Zhejiang Province(No.LTGG23F030006),and Special Project for Technological Innovation Guidance of Shaanxi Province(No.2024ZC-YYDP-24) （No.2024ZC-YYDP-24）
