Abstract
Biometric verification is a process to authenticate whether the subject is what it claims to be, based on the characteristics of the human body. These characteristics must meet seven (7) conditions to enable them to be used in a practical biometric system. These conditions are namely distinctiveness, performance, collectability, acceptability, universality, circumvention, and permanence. Electrocardiogram (ECG) is a human body characteristic measured from the heart that meets these seven conditions. Choosing the correct features from the ECG is important to get a high authentication rate. This paper proposed a new algorithm known as Bipolar Slope Feature (BSF) for ECG features selection. It is developed based on the relationship of slopes between several locations in a complete ECG cycle. The Receiver Operating Characteristic (ROC) curve is used to measure the effectiveness of this technique for the application of biometric verification.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Online and Biomedical Engineering (iJOE)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.