OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data
Hugo Proença, João C. Neves
(2017), pp. 6747-6756
Closed Access | Times Cited: 35
Hugo Proença, João C. Neves
(2017), pp. 6747-6756
Closed Access | Times Cited: 35
Showing 1-25 of 35 citing articles:
Deep Learning for Iris Recognition: A Survey
Kien Nguyen, Hugo Proença, Fernando Alonso‐Fernandez
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-35
Open Access | Times Cited: 21
Kien Nguyen, Hugo Proença, Fernando Alonso‐Fernandez
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-35
Open Access | Times Cited: 21
Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices
Qi Zhang, Haiqing Li, Zhenan Sun, et al.
IEEE Transactions on Information Forensics and Security (2018) Vol. 13, Iss. 11, pp. 2897-2912
Closed Access | Times Cited: 151
Qi Zhang, Haiqing Li, Zhenan Sun, et al.
IEEE Transactions on Information Forensics and Security (2018) Vol. 13, Iss. 11, pp. 2897-2912
Closed Access | Times Cited: 151
Complex-Valued Iris Recognition Network
Kien Nguyen, Clinton Fookes, Sridha Sridharan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 182-196
Open Access | Times Cited: 28
Kien Nguyen, Clinton Fookes, Sridha Sridharan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 182-196
Open Access | Times Cited: 28
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
Aidan Boyd, Adam Czajka, Kevin W. Bowyer
(2019), pp. 1-9
Open Access | Times Cited: 47
Aidan Boyd, Adam Czajka, Kevin W. Bowyer
(2019), pp. 1-9
Open Access | Times Cited: 47
Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach
Diego Rafael Lucio, Luiz A. Zanlorensi, Vincent Besson, et al.
Lecture notes in computer science (2025), pp. 316-325
Closed Access
Diego Rafael Lucio, Luiz A. Zanlorensi, Vincent Besson, et al.
Lecture notes in computer science (2025), pp. 316-325
Closed Access
Deep Residual CNN-Based Ocular Recognition Based on Rough Pupil Detection in the Images by NIR Camera Sensor
Young Won Lee, Ki Wan Kim, Toan Minh Hoang, et al.
Sensors (2019) Vol. 19, Iss. 4, pp. 842-842
Open Access | Times Cited: 35
Young Won Lee, Ki Wan Kim, Toan Minh Hoang, et al.
Sensors (2019) Vol. 19, Iss. 4, pp. 842-842
Open Access | Times Cited: 35
Deep representations for cross‐spectral ocular biometrics
Luiz A. Zanlorensi, Diego Rafael Lucio, Alceu de Souza Britto, et al.
IET Biometrics (2019) Vol. 9, Iss. 2, pp. 68-77
Open Access | Times Cited: 25
Luiz A. Zanlorensi, Diego Rafael Lucio, Alceu de Souza Britto, et al.
IET Biometrics (2019) Vol. 9, Iss. 2, pp. 68-77
Open Access | Times Cited: 25
Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition
Hugo Proença, João C. Neves
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019), pp. 2296-2305
Closed Access | Times Cited: 23
Hugo Proença, João C. Neves
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019), pp. 2296-2305
Closed Access | Times Cited: 23
Constrained Design of Deep Iris Networks
Kien Nguyen, Clinton Fookes, Sridha Sridharan
IEEE Transactions on Image Processing (2020) Vol. 29, pp. 7166-7175
Open Access | Times Cited: 23
Kien Nguyen, Clinton Fookes, Sridha Sridharan
IEEE Transactions on Image Processing (2020) Vol. 29, pp. 7166-7175
Open Access | Times Cited: 23
Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification
Kevin H. M. Cheng, Ajay Kumar
IEEE Transactions on Information Forensics and Security (2020) Vol. 16, pp. 1158-1173
Closed Access | Times Cited: 21
Kevin H. M. Cheng, Ajay Kumar
IEEE Transactions on Information Forensics and Security (2020) Vol. 16, pp. 1158-1173
Closed Access | Times Cited: 21
Lifelong iris presentation attack detection without forgetting
Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 1, pp. 1-19
Closed Access | Times Cited: 7
Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 1, pp. 1-19
Closed Access | Times Cited: 7
A Reminiscence of “<italic>Mastermind</italic>”: Iris/Periocular Biometrics by “<italic>In-Set</italic>” CNN Iterative Analysis
Hugo Proença, João C. Neves
IEEE Transactions on Information Forensics and Security (2018) Vol. 14, Iss. 7, pp. 1702-1712
Closed Access | Times Cited: 21
Hugo Proença, João C. Neves
IEEE Transactions on Information Forensics and Security (2018) Vol. 14, Iss. 7, pp. 1702-1712
Closed Access | Times Cited: 21
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
Luiz A. Zanlorensi, Eduardo Luz, Rayson Laroca, et al.
(2018), pp. 289-296
Open Access | Times Cited: 20
Luiz A. Zanlorensi, Eduardo Luz, Rayson Laroca, et al.
(2018), pp. 289-296
Open Access | Times Cited: 20
Non-ideal iris segmentation using Polar Spline RANSAC and illumination compensation
Ruggero Donida Labati, Enrique Muñoz, Vincenzo Piuri, et al.
Computer Vision and Image Understanding (2019) Vol. 188, pp. 102787-102787
Closed Access | Times Cited: 15
Ruggero Donida Labati, Enrique Muñoz, Vincenzo Piuri, et al.
Computer Vision and Image Understanding (2019) Vol. 188, pp. 102787-102787
Closed Access | Times Cited: 15
Contextual Measures for Iris Recognition
Jianze Wei, Yunlong Wang, Huaibo Huang, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 57-70
Closed Access | Times Cited: 8
Jianze Wei, Yunlong Wang, Huaibo Huang, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 57-70
Closed Access | Times Cited: 8
Ocular recognition databases and competitions: a survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 129-180
Closed Access | Times Cited: 10
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 129-180
Closed Access | Times Cited: 10
Robust Pupil Segmentation and Center Detection from Visible Light Images Using Convolutional Neural Network
Kazunari Kitazumi, Atsushi Nakazawa
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2018), pp. 862-868
Closed Access | Times Cited: 10
Kazunari Kitazumi, Atsushi Nakazawa
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2018), pp. 862-868
Closed Access | Times Cited: 10
Iris Verification with Convolutional Neural Network and Unit-Circle Layer
Radim Špetlík, Ivan Razumenić
Lecture notes in computer science (2019), pp. 274-287
Open Access | Times Cited: 7
Radim Špetlík, Ivan Razumenić
Lecture notes in computer science (2019), pp. 274-287
Open Access | Times Cited: 7
Structure correlation-aware attention for Iris recognition
Lingyao Jia, Qiule Sun, Peihua Li
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 21071-21091
Closed Access | Times Cited: 2
Lingyao Jia, Qiule Sun, Peihua Li
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 21071-21091
Closed Access | Times Cited: 2
Iris Feature Extraction and Matching Method for Mobile Biometric Applications
Gleb Odinokikh, Mikhail Korobkin, I. A. Solomatin, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 5
Gleb Odinokikh, Mikhail Korobkin, I. A. Solomatin, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 5
UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios.
Luiz A. Zanlorensi, Rayson Laroca, Diego Rafael Lucio, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 5
Luiz A. Zanlorensi, Rayson Laroca, Diego Rafael Lucio, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 5
Ocular Recognition Databases and Competitions: A Survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 4
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 4
Toward More Accurate Heterogeneous Iris Recognition with Transformers and Capsules
Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, et al.
Lecture notes in computer science (2023), pp. 28-40
Closed Access | Times Cited: 1
Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, et al.
Lecture notes in computer science (2023), pp. 28-40
Closed Access | Times Cited: 1
A comparison among keyframe extraction techniques for CNN classification based on video periocular images
Carolina Toledo Ferraz, William Barcellos, O. J. R. Pereira, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 8, pp. 12843-12856
Closed Access | Times Cited: 3
Carolina Toledo Ferraz, William Barcellos, O. J. R. Pereira, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 8, pp. 12843-12856
Closed Access | Times Cited: 3
From the Perspective of CNN to Adversarial Iris Images
Yizhong Huang, Adams Kong Wai-Kin, Kwok‐Yan Lam
(2018), pp. 1-10
Closed Access | Times Cited: 2
Yizhong Huang, Adams Kong Wai-Kin, Kwok‐Yan Lam
(2018), pp. 1-10
Closed Access | Times Cited: 2
