Triple C: A New Algorithm for ECG Cancelable Biometric System

Document Type : Original Article

Authors

1 Telecom Assis. Gmr Rashpetco (Shell-JV)

2 Computer Science and Engineering Dept. Faculty of Electronic Engineering Menoufia Universit - Egypt

3 Electronics and Electrical Communications Engineering Dept. Faculty of Electronic Engineering Menoufia University -Egypt

Abstract

This paper investigates the possibility of biometric human identification based on the electrocardiogram (ECG) using a new algorithm called CCC or Triple C.  The ECG, being a record of electrical currents generated by the beating heart, is potentially a distinctively human characteristic, since ECG waveforms and other properties of the ECG depend on the anatomic features of the human heart and body. The experimental studies involved 46 volunteers. For usability, each signal was shifted and encrypted by Cepstrum algorithm, the output is convoluted with the original signal then stored as an authorized database. Any new signal is processed as mentioned before then compared with the stored authorized database. AROC metric value is used to measure the performance of the proposed technique. Comparing results with traditional techniques showed that the recognition rate is better than other techniques and reach 99%. The findings support using the ECG as a new biometric characteristic in various biometric access control applications.

Keywords

References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 43-50

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