Statistical independence of ECG for biometric authentication
作者：
Highlights：
• Derived an expression that estimates the false resemblance of two ECG samples.
• Three classes of features such as interval, amplitude and angle are used.
• The cumulative probability of false ECG resemblance with 14 features is reported as 1.3×10−20.
• Compared empirical and theoretical performance of ECG independence.
• Successfully prove the admissibility of ECG to use as biometrics with scientific evidence.
摘要
•Derived an expression that estimates the false resemblance of two ECG samples.•Three classes of features such as interval, amplitude and angle are used.•The cumulative probability of false ECG resemblance with 14 features is reported as 1.3×10−20.•Compared empirical and theoretical performance of ECG independence.•Successfully prove the admissibility of ECG to use as biometrics with scientific evidence.
论文关键词：Biometric authentication,Electrocardiogram,Statistical independence,Probability of resemblance
论文评审过程：Received 6 July 2019, Revised 13 December 2021, Accepted 8 March 2022, Available online 11 March 2022, Version of Record 26 March 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2022.108640
