| Analysis of physical ageing effects in iris biometrics M Fairhurst, M Erbilek IET Computer Vision 5 (6), 358-366, 2011 | 61 | 2011 |
| Framework for managing ageing effects in signature biometrics M Erbilek, M Fairhurst IET biometrics 1 (2), 136-147, 2012 | 39 | 2012 |
| Emotional state prediction from online handwriting and signature biometrics YB Ayzeren, M Erbilek, E Çelebi IEEE Access 7, 164759-164774, 2019 | 38 | 2019 |
| Age prediction from iris biometrics M Erbilek, M Fairhurst, MCDC Abreu 5th International Conference on Imaging for Crime Detection and Prevention …, 2013 | 38 | 2013 |
| Exploring gender prediction from iris biometrics M Da Costa-Abreu, M Fairhurst, M Erbilek 2015 International Conference of the Biometrics Special Interest Group …, 2015 | 37 | 2015 |
| Selective review and analysis of aging effects in biometric system implementation M Fairhurst, M Erbilek, M Da Costa-Abreu IEEE transactions on human-machine systems 45 (3), 294-303, 2014 | 24 | 2014 |
| Enhancing the forensic value of handwriting using emotion prediction M Fairhurst, M Erbilek, C Li 2nd International Workshop on Biometrics and Forensics, 1-6, 2014 | 21 | 2014 |
| A methodological framework for investigating age factors on the performance of biometric systems M Erbilek, M Fairhurst Proceedings of the on Multimedia and security, 115-122, 2012 | 20 | 2012 |
| Automatic handwriting feature extraction, analysis and visualization in the context of digital palaeography Y Liang, MC Fairhurst, RM Guest, M Erbilek International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016 | 17 | 2016 |
| Study of automatic prediction of emotion from handwriting samples M Fairhurst, M Erbilek, C Li IET Biometrics 4 (2), 90-97, 2015 | 17 | 2015 |
| Recognizing partially occluded irises using subpattern-based approaches M Erbilek, O Toygar 2009 24th international symposium on computer and information sciences, 606-610, 2009 | 17 | 2009 |
| Exploiting biometric measurements for prediction of emotional state: A preliminary study for healthcare applications using keystroke analysis M Fairhurst, C Li, M Erbilek 2014 IEEE Workshop on Biometric Measurements and Systems for Security and …, 2014 | 13 | 2014 |
| Improved age prediction from biometric data using multimodal configurations M Erbilek, M Fairhurst, M Da Costa-Abreu 2014 international conference of the biometrics special interest group …, 2014 | 11 | 2014 |
| Analysis of ageing effects in biometric systems: difficulties and limitations M Erbilek, M Fairhurst Age factors in biometric processing. M. Fairhurst., IET, 279-301, 2013 | 11 | 2013 |
| Exploring gender prediction from digital handwriting M Erbilek, M Fairhurst, C Li 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 10 | 2016 |
| Diagnosis of Autism Spectrum Disorder Using Convolutional Neural Networks A Hendr, U Ozgunalp, M Erbilek Electronics 12, 2023 | 8 | 2023 |
| Optimal configuration strategies for iris recognition processing M Erbilek, MC Da Costa-Abreu, M Fairhurst IET Digital Library, 2012 | 5 | 2012 |
| Deep learning based stress prediction from offline signatures HY Yatbaz, M Erbilek 2020 8th International Workshop on Biometrics and Forensics (IWBF), 1-6, 2020 | 4 | 2020 |
| Evaluating iris segmentation for scenario optimisation M Erbilek, MC Fairhurst IET Digital Library, 2011 | 4 | 2011 |
| The impact of visual and blind signing on signature biometrics Y Bay, M Erbilek, AFG Cyprus, E Celebi 2017 9th International Conference on Computational Intelligence and …, 2017 | 2 | 2017 |
