Abstract
Security concerns increase as the technology for falsification advances. There are strong evidences that a difficult to falsify biometric trait, the human heartbeat, can be used for identity recognition. Existing solutions for biometric recognition from electrocardiogram (ECG) signals are based on temporal and amplitude distances between detected fiducial points. Such methods rely heavily on the accuracy of fiducial detection, which is still an open problem due to the difficulty in exact localization of wave boundaries. This paper presents a systematic analysis for human identification from ECG data. A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced. The appearance-based approach needs detection of one fiducial point only. Further, to completely relax the detection of fiducial points, a new approach based on autocorrelation (AC) in conjunction with discrete cosine transform (DCT) is proposed. Experimentation demonstrates that the AC/DCT method produces comparable recognition accuracy with the fiducial-detection-based approach.
Highlights
Biometric recognition provides airtight security by identifying an individual based on the physiological and/or behavioral characteristics [1]
A few proposals [2,3,4,5,6,7] suggested the possibility of using ECG as a new biometrics modality for human identity recognition
We present a systematic analysis for ECG-based biometric recognition
Summary
Biometric recognition provides airtight security by identifying an individual based on the physiological and/or behavioral characteristics [1]. A number of biometrics modalities have been investigated in the past, examples of which include physiological traits such as face, fingerprint, iris, and behavioral characteristics like gait and keystroke. These biometrics modalities either can not provide reliable performance in terms of recognition accuracy (e.g., gait, keystroke) or are not robust enough against falsification. A few proposals [2,3,4,5,6,7] suggested the possibility of using ECG as a new biometrics modality for human identity recognition. The validity of using ECG for biometric recognition is supported by the fact that the physiological and geometrical differences of the heart in different individuals display certain uniqueness in their ECG signals [8]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
