Multimodal Cancelable Biometric based on EEG signal | ||||
| Journal of Advanced Engineering Trends | ||||
| Articles in Press, Accepted Manuscript, Available Online from 10 March 2024 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jaet.2024.244147.1263 | ||||
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| Authors | ||||
Gerges M. Salama   1; Basma Omar2; Safaa El-Gazar2; Ahmed A. Hassan3
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| 1Electric Engineering Dep., Faculty of Engineering, Minia University | ||||
| 2Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia, Egypt | ||||
| 3Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt | ||||
| Abstract | ||||
| Due to the rapid development of fake programs and hacking, it has become necessary to rely on more reliable access methods. Biometric authentication is an effective trend for more secure access. This biometric should be saved as a cancelable template. Cancelability can be obtained using encryption. In this paper, Double Random Phase Encoding (DRPE) is utilized to generate the cancelable template from the electroencephalogram (EEG) signal spectrogram. For more reliable access, multibiometrics can be used. Biometric images can be fused using the Discrete Wavelet Transform (DWT) and used as masks, aiding in the DRPE encryption process. System performance is evaluated by the Equal Error Rate (EER) and the Area under the Receiver Operating Curve (AROC). Simulation results indicate the good performance of the proposed system, where ERR is close to zero and AROC is close to one. The proposed system is tested in the presence of different types of noise and attacks. | ||||
| Keywords | ||||
| Cancelable biometrics; EEG; Double Random Phase Encoding | ||||
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