| A New EEG Acquisition Protocol for Biometric Identification Using Eye Blinking Signals M Abo-Zahhad, SM Ahmed, SN Abbas International Journal of Intelligent Systems and Applications (IJISA) 7 (6 …, 2015 | 151 | 2015 |
| A new multi-level approach to EEG based human authentication using eye blinking M Abo-Zahhad, SM Ahmed, SN Abbas Pattern Recognition Letters 82, 216-225, 2016 | 130 | 2016 |
| Biometric authentication based on PCG and ECG signals: present status and future directions M Abo-Zahhad, SM Ahmed, SN Abbas Signal, Image and Video Processing 8, 739-751, 2014 | 117 | 2014 |
| State-of-the-art methods and future perspectives for personal recognition based on electroencephalogram signals M Abo-Zahhad, SM Ahmed, SN Abbas IET Biometrics 4 (3), 179 – 190, 2015 | 97 | 2015 |
| A novel biometric approach for human identification and verification using eye blinking signal M Abo-Zahhad, SM Ahmed, SN Abbas IEEE Signal Processing Letters 22 (7), 876-880, 2014 | 93 | 2014 |
| Evaluation of PPG biometrics for authentication in different states U Yadav, SN Abbas, D Hatzinakos 2018 International Conference on Biometrics (ICB), 277-282, 2018 | 90 | 2018 |
| Human recognition using transient auditory evoked potentials: a preliminary study SNA Seha, D Hatzinakos IET Biometrics 7 (3), 242-250, 2018 | 50 | 2018 |
| EEG-based human recognition using steady-state AEPs and subject-unique spatial filters SNA Seha, D Hatzinakos IEEE Transactions on Information Forensics and Security 15, 3901-3910, 2020 | 34 | 2020 |
| Eye blinking EOG signals as biometrics SN Abbas, M Abo-Zahhad Biometric Security and Privacy: Opportunities & Challenges in The Big Data …, 2017 | 25 | 2017 |
| Biometrics from heart sounds: Evaluation of a new approach based on wavelet packet cepstral features using HSCT-11 database M Abo-Zahhad, SM Ahmed, SN Abbas Computers & Electrical Engineering 53, 346-358, 2016 | 24 | 2016 |
| PCG biometric identification system based on feature level fusion using canonical correlation analysis M Abo-Zahhad, SM Ahmed, SN Abbas 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering …, 2014 | 23 | 2014 |
| Improving eye movement biometrics using remote registration of eye blinking patterns S Seha, G Papangelakis, D Hatzinakos, AS Zandi, FJE Comeau ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 22 | 2019 |
| A comparative approach between cepstral features for human authentication using heart sounds M Abo-Zahhad, M Farrag, SN Abbas, SM Ahmed Signal, Image and Video Processing 10, 843-851, 2016 | 19 | 2016 |
| Improving eye movement biometrics in low frame rate eye-tracking devices using periocular and eye blinking features SNA Seha, D Hatzinakos, AS Zandi, FJE Comeau Image and Vision Computing 108, 104124, 2021 | 17 | 2021 |
| Heart‐ID: human identity recognition using heart sounds based on modifying mel‐frequency cepstral features SN Abbas, M Abo–Zahhad, SM Ahmed, M Farrag Iet Biometrics 5 (4), 284-296, 2016 | 15 | 2016 |
| A new approach for EEG-based biometric authentication using auditory stimulation SNA Seha, D Hatzinakos 2019 International Conference on Biometrics (ICB), 1-6, 2019 | 14 | 2019 |
| A new biometric modality for human authentication using eye blinking M Abo-Zahhad, SM Ahmed, SN Abbas 2014 Cairo International Biomedical Engineering Conference (CIBEC), 174-177, 2014 | 12 | 2014 |
| Eyedrive: A deep learning model for continuous driver authentication B Taha, SNA Seha, DY Hwang, D Hatzinakos IEEE Journal of Selected Topics in Signal Processing 17 (3), 637-647, 2023 | 9 | 2023 |
| A new biometric authentication system using heart sounds based on wavelet packet features M Abo-Zahhad, SM Ahmed, SN Abbas 2015 IEEE International Conference on Electronics, Circuits, and Systems …, 2015 | 9 | 2015 |
| Longitudinal assessment of EEG biometrics under auditory stimulation: a deep learning approach SNA Seha, D Hatzinakos 2021 29th European Signal Processing Conference (EUSIPCO), 1386-1390, 2021 | 7 | 2021 |
Dimitrios HatzinakosDepartment of Electrical and Computer Engineering, University of TorontoVerified email at comm.utoronto.ca
