Detection of spoofing attacks for ear biometrics through image quality assessment and deep learning YEŞİLYURT İMREN, Toygar Önsen Expert Systems with Applications Cilt.172 Sayf.- 2021 http://dx.doi.org/10.1016/j.eswa.2021.114600
Ear anti-spoofing against print attacks using three-level fusion of image quality measures YEŞİLYURT İMREN, Toygar Önsen Signal, Image and Video Processing Cilt.14 Sayf.- 2019 http://dx.doi.org/10.1007/s11760-019-01570-w
Bildiriler (Uluslararası)
Fusion of Full-Reference and No-Reference Anti-Spoofing Techniques for Ear Biometrics under Print Attacks YEŞİLYURT İMREN, Toygar Önsen International Conference on Advanced Technologies Cilt. Sayf.- 20.05.2018 https://icatces.org/2018/home_files/proceeding_book_2018.pdf
Classification of Corn and Grape Plant Diseases Through Leaf Images YEŞİLYURT İMREN, Toygar Önsen, Usman Suleiman A. 6th International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA2019) Cilt. Sayf.- 10.03.2019
A Feature Level Fusion Approach for Iris Anti-Spoofing Using Image Quality Assessment YEŞİLYURT İMREN, Toygar Önsen, Habib Hussaini 6th International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA2019) Cilt. Sayf.- 10.03.2019
Kitaplar (Uluslararası)
Innovations and Technologies in Engineering / Print Attack Detection for Ear Biometrics with Fusion of Texture-based and CNN-based Approaches YEŞİLYURT İMREN, KÖSE ULUKÖK MEHTAP, TOYGAR ÖNSEN Edit: S.Tasdemir and I. A. Ozkan / Yayın: Eğitim Yayınevi 2022
