• UKÜ Online
Akademik

Akademik Kadro

MERYEM  ERBİLEK

Yrd. Doç. Dr. Meryem ERBİLEK

E-posta:

Yayınlar

Uluslararası hakemli dergilerde yayınlanan makaleler (SCI, SCI-exp, SSCI, Arts and Humanities)

  • 1. Y. Liang, M. Fairhurst, R.M. Guest and M. Erbilek, Automatic handwriting feature extraction, analysis and visualisation in the context of digital palaeography, International Journal of Pattern Recognition and Artificial Intelligence, vol.30, no.4, pp. 1653001, 2016.
  • (SCIE - Science Citation Index Expanded)
  • 2. M. Fairhurst, M. Erbilek and C. Li, A study of automatic prediction of emotion from handwriting samples to support forensic analysis, IET Biometrics, vol.4, no.2, pp. 90-97, 2015. (SCIE - Science Citation Index Expanded)
  • 3. M. Fairhurst, M. Erbilek and M. C. D. C. Abreu, Selective review and analysis of ageing effects in biometric system implementation, IEEE Transactions on Human-Machine Systems, vol. 45, no.3, pp. 294-303, 2015.
  • (SCI - Science Citation Index)
  • 4. M. Erbilek and M. Fairhurst, A framework for managing ageing effects in signature biometrics, IET Biometrics, vol.1, no.2, pp. 136-147, June 2012.
  • (SCIE - Science Citation Index Expanded)
  • 5. M. Fairhurst and M. Erbilek, Analysis of physical ageing effects in iris biometrics, Future Trends in Biometric Processing, IET Computer Vision, vol.5, no.6, pp. 358-366, November 2011.
  • (SCI - Science Citation Index)

Uluslararası bilimsel toplantılarda sunulan ve bildiri kitabında basılan bildiriler

  • 1. M. Erbilek, M. Fairhurst and C. Li, Exploring gender prediction from digital handwriting, 24th IEEE Conference on Signal Processing and Communication Applications, 16-19 May, 2016, Zonguldak, Turkey.
  • 2. M. Fairhurst, M. Erbilek and M. C. D. C. Abreu, Exploring Gender Prediction from Iris Biometrics, International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1-11, 9-11 September, 2015, Darmstadt, Germany.
  • 3. M. Fairhurst, C. Li and M. Erbilek, Exploiting biometric measurements for prediction of emotional state: a preliminary study for healthcare applications using keystroke analysis, IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS), 17 October, 2014, Rome, Italy.
  • 4. M. Erbilek, M. Fairhurst and M. C. D. C. Abreu , Improved age prediction from biometric data using multimodal configurations, International Conference of the Biometrics Special Interest Group (BIOSIG), 10-12 September, 2014, Darmstadt, Germany.
  • 5. M. Fairhurst, M. Erbilek and C. Li, Enhancing the forensic value of handwriting using emotion prediction, 2nd International Workshop on Biometrics and Forensics (IWBF), 27-28 March, 2014, Valletta, Malta.
  • 6. M. Erbilek, M. Fairhurst and M. C. D. C. Abreu, Age Prediction from Iris Biometrics, 5th International Conference on Imaging for Crime Detection and Prevention (ICDP13), 16-17 December, 2013, London, UK.
  • 7. M. Erbilek and M. Fairhurst, A methodological framework for investigating age factors on the performance of biometric systems, The 14th ACM Workshop on Multimedia and Security, Special Session on Biometrics & Security (MMSEC'12) , 6-7 September, 2012, Coventry, UK.
  • 8. M. Erbilek, M. C. D. C. Abreu and M. Fairhurst, Optimal Configuration Strategies for Iris Recognition Processing, IET Image Processing Conference (IPR 2012), 3-4 July, 2012, London, UK.
  • 9. M. Erbilek and M. Fairhurst, Evaluating Iris Segmentation for Scenario Optimisation, 4th International Conference on Imaging for Crime Detection and Prevention (ICDP11), 3-4 November, 2011, London, UK.
  • 10. M. Erbilek and Ö. Toygar, Recognizing Partially Occluded Irises using Subpattern-Based Approaches, 24th International Symposium on Computer and Information Sciences (ISCIS09), 14-16 September, 2009, North Cyprus.
  • 11. M. Erbilek and Ö. Toygar, Performance Analysis of Partitioning-Based and Subpattern-Based Approaches on Iris Recognition, The 9th IASTED International Conference on Visualization, Imaging and Image Processing, 13-15 July, 2009, Cambridge, United Kingdom.
  • 12. M. Erbilek and Ö. Toygar, Robustness of Subpattern-based Approaches to Occlusions on Iris Images, The 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, 13-16 July, 2009, Las Vegas, Nevada, USA.
  • 13. M. Erbilek and Ö. Toygar, Reducing the Effect of Partial Occlusions on Iris Recognition, 3rd International Conference on Computer Vision Theory and Applications (VISAPP08), 22-25 January, 2008, Funchal, Madeira, Portugal.
  • 14. M. Erbilek and Ö. Toygar, Iris Recognition on Partially Occluded Images, 22nd International Symposium on Computer and Information Sciences (ISCIS07), 7-9 November, 2007, Ankara, Turkey.
  • M. Erbilek and M. Fairhurst, Analysis of ageing effects in biometric systems: difficulties and limitations, Age factors in biometric processing, IET, pp. 279-301, September 2013.
  • 2. Y. Bay, A. F. Gyasi, M. Erbilek and E. Çelebi, The impact of visual and blind signing on signature biometrics, 9th International Conference on Computational Intelligence and Commination Networks, 16-17 September, 2017, Kyrenia, Cyprus.
  • 1. R. Ibrahem and M. Erbilek, Feature Analysis of Blind and Visual Signature Data Collection Protocols based on the identification performance, 9th International Conference on Computational Intelligence and Commination Networks, 16-17 September, 2017, Kyrenia, Cyprus.

Uluslararası diğer hakemli dergilerde yayınlanan makaleler

  • M. Fairhurst and M. Erbilek, Towards the development of user tools for knowledge acquisition in digital document analysis, Steps toward the Digital Agenda: Open Data to Open Knowledge, Journal of e-Learning and Knowledge Society (Je-LKS), vol.10, no.2, May 2014.

Yönetilen Tezler

Doktora Tezleri

Yüksek Lisans Tezleri

Projeler

  • Worked on a project entitled DocExplore Historical Document Exploration System which is funded by the EU INTERREG Iva (Manche) programme and in collaboration with the University of Rouen, France, Canterbury Cathedral Archives and Bibliothèque Municipale de Rouen. The work carried out under the supervision of Dr. Richard Guest and Prof. Michael Fairhurst.
  • Worked on a project entitled A comparative study of capture characteristics in three signature acquisition devices which is sponsored by the industrial company (WACOM). The work carried out under the supervision of Mr. Steve Kelly and Prof. Michael Fairhurst.

Ödüller

  • Full Ph.D. Scholarship in Electronic Engineering, University of Kent, Canterbury, Kent, United Kingdom.