| Geometric leaf classification C Kalyoncu, Ö Toygar Computer Vision and Image Understanding 133, 102-109, 2015 | 141 | 2015 |
| Face recognition using PCA, LDA and ICA approaches on colored images Ö Toygar, A Acan IU-Journal of Electrical & Electronics Engineering 3 (1), 735-743, 2003 | 116 | 2003 |
| On the use of DAG-CNN architecture for age estimation with multi-stage features fusion S Taheri, Ö Toygar Neurocomputing 329, 300-310, 2019 | 72 | 2019 |
| Selection of optimized features and weights on face-iris fusion using distance images M Eskandari, Ö Toygar Computer Vision and Image Understanding 137, 63-75, 2015 | 68 | 2015 |
| A weighted mean filter with spatial-bias elimination for impulse noise removal C Kandemir, C Kalyoncu, Ö Toygar Digital Signal Processing 46, 164-174, 2015 | 65 | 2015 |
| Fusion of face and iris biometrics using local and global feature extraction methods M Eskandari, Ö Toygar Signal, image and video processing 8, 995-1006, 2014 | 63 | 2014 |
| FYO: A Novel Multimodal Vein Database with Palmar, Dorsal and Wrist Biometrics Ö Toygar, FO Babalola, Y Bitirim IEEE Access, 2020 | 59 | 2020 |
| Animal classification using facial images with score‐level fusion S Taheri, Ö Toygar IET computer vision 12 (5), 679-685, 2018 | 51 | 2018 |
| Spoof detection on face and palmprint biometrics M Farmanbar, Ö Toygar Signal, Image and Video Processing 11, 1253-1260, 2017 | 51 | 2017 |
| Feature selection for the fusion of face and palmprint biometrics M Farmanbar, Ö Toygar Signal, Image and Video Processing 10, 951-958, 2016 | 49 | 2016 |
| A new approach for face-iris multimodal biometric recognition using score fusion M Eskandari, Ö Toygar, H Demirel International Journal of Pattern Recognition and Artificial Intelligence 27 …, 2013 | 42 | 2013 |
| Palm vein recognition through fusion of texture-based and CNN-based methods FO Babalola, Y Bitirim, Ö Toygar Signal, Image and Video Processing 15 (3), 459-466, 2021 | 41 | 2021 |
| Tomato disease recognition using a compact convolutional neural network E Özbılge, MK Ulukök, Ö Toygar, E Ozbılge IEEE Access 10, 77213-77224, 2022 | 37 | 2022 |
| Interpolation‐based impulse noise removal C Kalyoncu, Ö Toygar, H Demirel IET Image Processing 7 (8), 777-785, 2013 | 37 | 2013 |
| Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition Ö Toygar, A Acan Pattern Recognition Letters 25 (12), 1421-1430, 2004 | 36 | 2004 |
| Feature extractor selection for face–iris multimodal recognition M Eskandari, Ö Toygar, H Demirel Signal, image and video processing 8 (6), 1189-1198, 2014 | 35 | 2014 |
| Recognition of identical twins using fusion of various facial feature extractors A Afaneh, F Noroozi, Ö Toygar EURASIP Journal on Image and Video Processing 2017 (1), 81, 2017 | 32 | 2017 |
| GTCLC: leaf classification method using multiple descriptors C Kalyoncu, Ö Toygar IET Computer Vision 10 (7), 700-708, 2016 | 32 | 2016 |
| Symmetric ear and profile face fusion for identical twins and non-twins recognition Ö Toygar, E Alqaralleh, A Afaneh Signal, Image and Video Processing 12, 1157-1164, 2018 | 27 | 2018 |
| Automatic speech based emotion recognition using paralinguistics features J Hook, F Noroozi, O Toygar, G Anbarjafari Bulletin of the Polish Academy of Sciences. Technical Sciences 67 (3), 2019 | 26 | 2019 |
Adnan AcanEastern Mediterranean UniversityVerified email at emu.edu.tr
