Abstract—In this modern era, biometrics incorporate various mechanisms to recognize inimitable features of human beings by utilizing their biological and evident features. This paper proposes a novel technique for constructing a resilient and secure biometric recognition system. In this paper, an ECG-hash code of two distinct individuals has been formed by taking dot product of electrocardiogram (ECG) feature matrices of two persons located at two different sites at respective databases. The validity of the system increases as samples from both persons, between whom the transmission takes place, are essential. Besides, electrocardiogram is such a unique feature of an individual that could not be compromised at any circumstance as contradict...
Use of Electrocardiographic signals is not new in the field of medical diagnosis to diagnose one’s h...
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliab...
This thesis studies the challenges of applying the electrocardiogram signal (ECG) as a biometric. Un...
International audienceSecurity biometrics is a secure alternative to traditional methods of identity...
Recently the electrocardiogram (ECG) has been proposed as a novel biometric. This paper aims to cons...
This paper presents a new ECG based biometric system that has a doubly secure characteristic when ap...
Recent advancements in computing and digital signal processing technologies have made automated iden...
In this work, we present a novel biometric authentication approach based on combination of AC/DCT fe...
Traditional authentication systems use alphanumeric or graphical passwords, or token-based technique...
Mobile devices users are storing more and more private and often highly sensitive information on the...
This paper is targeted in the area of biometric data enabled security by using machine learning for ...
As biometric recognition becomes increasingly popular, the fear of circumvention, obfuscation and re...
In this study, we are proposing a practical way for human identification based on a new biometric me...
This project introduces a new form of biometric identification with an ECG signal with the use of ma...
This thesis studies the applicability of the electrocardiogram signal (ECG) as a biometric. There is...
Use of Electrocardiographic signals is not new in the field of medical diagnosis to diagnose one’s h...
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliab...
This thesis studies the challenges of applying the electrocardiogram signal (ECG) as a biometric. Un...
International audienceSecurity biometrics is a secure alternative to traditional methods of identity...
Recently the electrocardiogram (ECG) has been proposed as a novel biometric. This paper aims to cons...
This paper presents a new ECG based biometric system that has a doubly secure characteristic when ap...
Recent advancements in computing and digital signal processing technologies have made automated iden...
In this work, we present a novel biometric authentication approach based on combination of AC/DCT fe...
Traditional authentication systems use alphanumeric or graphical passwords, or token-based technique...
Mobile devices users are storing more and more private and often highly sensitive information on the...
This paper is targeted in the area of biometric data enabled security by using machine learning for ...
As biometric recognition becomes increasingly popular, the fear of circumvention, obfuscation and re...
In this study, we are proposing a practical way for human identification based on a new biometric me...
This project introduces a new form of biometric identification with an ECG signal with the use of ma...
This thesis studies the applicability of the electrocardiogram signal (ECG) as a biometric. There is...
Use of Electrocardiographic signals is not new in the field of medical diagnosis to diagnose one’s h...
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliab...
This thesis studies the challenges of applying the electrocardiogram signal (ECG) as a biometric. Un...