Triple C: A New Algorithm for ECG Cancelable Biometric System | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 4, Volume 28, ICEEM2019-Special Issue, 2019, Page 43-50 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.67376 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Amir E. El-Refaey* 1; Marwa A. Shouman2; Ezz El-din Hemdan2; Adel EL-Fishawy3; Fathi Abd El-Samie3 | ||||
| 1Telecom Assis. Gmr Rashpetco (Shell-JV) | ||||
| 2Computer Science and Engineering Dept. Faculty of Electronic Engineering Menoufia Universit - Egypt | ||||
| 3Electronics 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 | ||||
| eCG; Cancelable Biometrics; Cepstrum; Convolution; AROC | ||||
| References | ||||
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