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Önsen Toygar
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2020 – today
- 2024
- [j32]Fuat Uyguroglu
, Önsen Toygar
, Hasan Demirel
:
CNN-based Alzheimer's disease classification using fusion of multiple 3D angular orientations. Signal Image Video Process. 18(3): 2743-2751 (2024) - [j31]Yasemin Keskin
, Önsen Toygar
:
Enhancement of underwater images through a dehazing approach with color balancing and multiscale image fusion. Signal Image Video Process. 18(6-7): 5301-5309 (2024) - [c13]Rodrigo Colnago Contreras
, Caio Ulisses Silva Carmassi, Monique Simplicio Viana
, Önsen Toygar
, Rodrigo Capobianco Guido
:
A New Image Enhancement-Based Framework for Spoofing Detection in Ear-Based Biometric Authentication Systems. ICAISC (3) 2024: 253-269 - 2023
- [j30]Felix Olanrewaju Babalola, Shehu Hamidu, Önsen Toygar:
Human recognition system through major and minor finger knuckle pattern fusion by symmetric-sum method. J. Electronic Imaging 32(5) (2023) - [j29]Esraa Alqaralleh, Ayman Afaneh, Önsen Toygar
:
Masked face recognition using frontal and profile faces with multiple fusion levels. Signal Image Video Process. 17(4): 1375-1382 (2023) - [j28]Felix Olanrewaju Babalola
, Önsen Toygar
, Yiltan Bitirim
:
Boosting hand vein recognition performance with the fusion of different color spaces in deep learning architectures. Signal Image Video Process. 17(8): 4375-4383 (2023) - 2022
- [j27]Emre Özbilge
, Mehtap Köse Ulukök
, Önsen Toygar
, Ebru Ozbilge
:
Tomato Disease Recognition Using a Compact Convolutional Neural Network. IEEE Access 10: 77213-77224 (2022) - 2021
- [j26]Imren Toprak, Önsen Toygar
:
Detection of spoofing attacks for ear biometrics through image quality assessment and deep learning. Expert Syst. Appl. 172: 114600 (2021) - [j25]Felix Olanrewaju Babalola, Yiltan Bitirim, Önsen Toygar
:
Palm vein recognition through fusion of texture-based and CNN-based methods. Signal Image Video Process. 15(3): 459-466 (2021) - 2020
- [j24]Önsen Toygar
, Felix Olanrewaju Babalola, Yiltan Bitirim
:
FYO: A Novel Multimodal Vein Database With Palmar, Dorsal and Wrist Biometrics. IEEE Access 8: 82461-82470 (2020) - [j23]Önsen Toygar
, Esraa Alqaralleh, Ayman Afaneh:
On the use of ear and profile faces for distinguishing identical twins and nontwins. Expert Syst. J. Knowl. Eng. 37(1) (2020) - [j22]Imren Toprak, Önsen Toygar
:
Ear anti-spoofing against print attacks using three-level fusion of image quality measures. Signal Image Video Process. 14(2): 417-424 (2020) - [c12]Yiltan Bitirim, Selin Bitirim, Duygu Çelik Ertugrul
, Önsen Toygar:
An Evaluation of Reverse Image Search Performance of Google. COMPSAC 2020: 1368-1372
2010 – 2019
- 2019
- [j21]Shahram Taheri, Önsen Toygar:
Integrating Feature Extractors for the Estimation of Human Facial Age. Appl. Artif. Intell. 33(5): 379-398 (2019) - [j20]Shahram Taheri, Önsen Toygar:
Multi-stage age estimation using two level fusions of handcrafted and learned features on facial images. IET Biom. 8(2): 124-133 (2019) - [j19]Shahram Taheri
, Önsen Toygar
:
On the use of DAG-CNN architecture for age estimation with multi-stage features fusion. Neurocomputing 329: 300-310 (2019) - 2018
- [j18]Shahram Taheri
, Önsen Toygar:
Animal classification using facial images with score-level fusion. IET Comput. Vis. 12(5): 679-685 (2018) - [j17]Esraa Alqaralleh, Önsen Toygar
:
Ear Recognition Based on Fusion of Ear and Tragus Under Different Challenges. Int. J. Pattern Recognit. Artif. Intell. 32(9): 1856009:1-1856009:10 (2018) - [j16]Önsen Toygar
, Esraa Alqaralleh, Ayman Afaneh:
Symmetric ear and profile face fusion for identical twins and non-twins recognition. Signal Image Video Process. 12(6): 1157-1164 (2018) - 2017
- [j15]Ayman Afaneh, Fatemeh Noroozi
, Önsen Toygar
:
Recognition of identical twins using fusion of various facial feature extractors. EURASIP J. Image Video Process. 2017: 81 (2017) - [j14]Mina Farmanbar
, Önsen Toygar
:
Spoof detection on face and palmprint biometrics. Signal Image Video Process. 11(7): 1253-1260 (2017) - 2016
- [j13]Cem Kalyoncu, Önsen Toygar:
GTCLC: leaf classification method using multiple descriptors. IET Comput. Vis. 10(7): 700-708 (2016) - [j12]Mina Farmanbar
, Önsen Toygar:
Feature selection for the fusion of face and palmprint biometrics. Signal Image Video Process. 10(5): 951-958 (2016) - 2015
- [j11]Cem Kalyoncu, Önsen Toygar:
Geometric leaf classification. Comput. Vis. Image Underst. 133: 102-109 (2015) - [j10]Maryam Eskandari
, Önsen Toygar:
Selection of optimized features and weights on face-iris fusion using distance images. Comput. Vis. Image Underst. 137: 63-75 (2015) - [j9]Cengiz Kandemir
, Cem Kalyoncu, Önsen Toygar
:
A weighted mean filter with spatial-bias elimination for impulse noise removal. Digit. Signal Process. 46: 164-174 (2015) - [j8]Mina Farmanbar
, Önsen Toygar:
A Hybrid Approach for Person Identification Using Palmprint and Face Biometrics. Int. J. Pattern Recognit. Artif. Intell. 29(6): 1556009:1-1556009:15 (2015) - 2014
- [j7]Shima Izadpanahi, Önsen Toygar:
Human Age Classification with Optimal Geometric ratios and Wrinkle Analysis. Int. J. Pattern Recognit. Artif. Intell. 28(2) (2014) - [j6]Maryam Eskandari
, Önsen Toygar
:
Fusion of face and iris biometrics using local and global feature extraction methods. Signal Image Video Process. 8(6): 995-1006 (2014) - [j5]Maryam Eskandari
, Önsen Toygar
, Hasan Demirel:
Feature extractor selection for face-iris multimodal recognition. Signal Image Video Process. 8(6): 1189-1198 (2014) - 2013
- [j4]Cem Kalyoncu, Önsen Toygar, Hasan Demirel:
Interpolation-based impulse noise removal. IET Image Process. 7(8): 777-785 (2013) - [j3]Maryam Eskandari
, Önsen Toygar, Hasan Demirel:
A New Approach for Face-Iris Multimodal Biometric Recognition using Score Fusion. Int. J. Pattern Recognit. Artif. Intell. 27(3) (2013) - [c11]Maryam Eskandari
, Önsen Toygar:
Score Level Fusion for Face-Iris Multimodal Biometric System. ISCIS 2013: 199-208 - 2011
- [j2]Önsen Toygar, Hakan Altinçay:
Preserving spatial information and overcoming variations in appearance for face recognition. Pattern Anal. Appl. 14(1): 67-75 (2011) - [c10]Fatemeh Mirzaei
, Önsen Toygar:
Age classification using facial feature extraction on female and male images. ICDIP 2011: 80091F
2000 – 2009
- 2009
- [c9]Meryem Erbilek, Önsen Toygar:
Robustness of Subpattern-Based Approaches to Occlusions on Iris Images. IPCV 2009: 773-778 - [c8]Siamak Tafavogh, Önsen Toygar:
Recognizing Facial Expressions Using Subspace Linear Discriminant Analysis. IPCV 2009: 901-905 - [c7]Meryem Erbilek
, Önsen Toygar:
Recognizing partially occluded irises using subpattern-based approaches. ISCIS 2009: 606-610 - 2008
- [c6]Tiwuya H. Faaya, Önsen Toygar:
Illumination Invariant Face Recognition under Various Facial Expressions and Occlusions. ICISP 2008: 304-311 - [c5]Tiwuya H. Faaya, Önsen Toygar:
On Occlusion Robust, Illumination and Facial Expression Invariant Face Recognition. IPCV 2008: 358-362 - [c4]Meryem Erbilek, Önsen Toygar:
Reducing the Effect of Partial Occlusions on Iris Recognition. VISAPP (1) 2008: 543-546 - 2004
- [j1]Önsen Toygar
, Adnan Acan:
Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition. Pattern Recognit. Lett. 25(12): 1421-1430 (2004) - [c3]Önsen Toygar, Adnan Acan:
Selection of Optimal Dimensionality Reduction Methods for Face Recognition Using Genetic Algorithms. ADVIS 2004: 472-481 - [c2]Önsen Toygar, Adnan Acan:
Boosting Face Recognition Speed with a Novel Divide-and-Conquer Approach. ISCIS 2004: 430-439 - 2003
- [c1]Önsen Toygar, Adnan Acan:
An Analysis of Appearance-Based Statistical Methods and Autoassociative Neural Networks On Face Recognition. IC-AI 2003: 292-298
Coauthor Index

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last updated on 2025-04-09 22:27 CEST by the dblp team
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