ECG-Based Biometrics

ECG-Based Biometrics

Swanirbhar Majumder, Saurabh Pal
ISBN13: 9781466665590|ISBN10: 1466665599|EISBN13: 9781466665606
DOI: 10.4018/978-1-4666-6559-0.ch016
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MLA

Majumder, Swanirbhar, and Saurabh Pal. "ECG-Based Biometrics." Handbook of Research on Securing Cloud-Based Databases with Biometric Applications, edited by Ganesh Chandra Deka and Sambit Bakshi, IGI Global, 2015, pp. 337-363. https://doi.org/10.4018/978-1-4666-6559-0.ch016

APA

Majumder, S. & Pal, S. (2015). ECG-Based Biometrics. In G. Deka & S. Bakshi (Eds.), Handbook of Research on Securing Cloud-Based Databases with Biometric Applications (pp. 337-363). IGI Global. https://doi.org/10.4018/978-1-4666-6559-0.ch016

Chicago

Majumder, Swanirbhar, and Saurabh Pal. "ECG-Based Biometrics." In Handbook of Research on Securing Cloud-Based Databases with Biometric Applications, edited by Ganesh Chandra Deka and Sambit Bakshi, 337-363. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6559-0.ch016

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Abstract

Like all human beings have different fingerprints, they have differently shaped hearts. The ECG, or the electrocardiogram, is the signature of the movements by the human heart, and thus, all ECGs are different. ECG biometrics is an area of biometric identification by the usage of the ECG features in time or frequency/transform domain. Along with these, if the present-day cloud servers also come to play, one has an efficient and cost-effective ECG-based biometric system using cloud computing to provide real-time identification via a secure connection. This chapter focuses on ECG-based biometrics with an overview at the end about how cloud-based big databases of stored ECG signatures and cloud servers can play a part in it.

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