Robust gait recognition: a comprehensive survey I Rida, N Almaadeed, S Almaadeed IET Biometrics 8 (1), 14-28, 2019 | 118 | 2019 |
Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition I Rida, X Jiang, GL Marcialis Signal Processing Letters, IEEE 23 (1), 154-158, 2016 | 112 | 2016 |
Gait recognition based on modified phase-only correlation I Rida, S Almaadeed, A Bouridane Signal, Image and Video Processing 10, 463-470, 2016 | 88 | 2016 |
Palmprint identification using an ensemble of sparse representations I Rida, S Al-Maadeed, A Mahmood, A Bouridane, S Bakshi IEEE Access 6, 3241-3248, 2018 | 67 | 2018 |
A comprehensive overview of feature representation for biometric recognition I Rida, N Al-Maadeed, S Al-Maadeed, S Bakshi Multimedia Tools and Applications 79, 4867-4890, 2020 | 66 | 2020 |
Palmprint recognition with an efficient data driven ensemble classifier I Rida, R Herault, GL Marcialis, G Gasso Pattern Recognition Letters 126, 21-30, 2019 | 62 | 2019 |
A pBCI to predict attentional error before it happens in real flight conditions F Dehais, I Rida, RN Roy, J Iversen, T Mullen, D Callan 2019 ieee international conference on systems, man and cybernetics (smc …, 2019 | 38 | 2019 |
Robust model-free gait recognition by statistical dependency feature selection and globality-locality preserving projections I Rida, L Boubchir, N Al-Maadeed, S Al-Maadeed, A Bouridane 2016 39th International Conference on Telecommunications and Signal …, 2016 | 38 | 2016 |
Palmprint identification using sparse and dense hybrid representation SA Maadeed, X Jiang, I Rida, A Bouridane Multimedia Tools and Applications 78, 5665-5679, 2019 | 33 | 2019 |
Improved human gait recognition I Rida, A Bouridane, GL Marcialis, P Tuveri Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015 | 33 | 2015 |
Jointly heterogeneous palmprint discriminant feature learning L Fei, B Zhang, Y Xu, C Tian, I Rida, D Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4979-4990, 2021 | 31 | 2021 |
Unsupervised feature selection method for improved human gait recognition I Rida, S Al Maadeed, A Bouridane 2015 23rd European Signal Processing Conference (EUSIPCO), 1128-1132, 2015 | 28 | 2015 |
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review A Parashar, A Parashar, W Ding, RS Shekhawat, I Rida Artificial Intelligence Review 56 (8), 8889-8953, 2023 | 26 | 2023 |
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods A Parashar, RS Shekhawat, W Ding, I Rida Neurocomputing 505, 315-338, 2022 | 26 | 2022 |
Forensic shoe-print identification: a brief survey I Rida, L Fei, H Proença, A Nait-Ali, A Hadid arXiv preprint arXiv:1901.01431, 2019 | 25 | 2019 |
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches A Parashar, A Parashar, W Ding, M Shabaz, I Rida Pattern Recognition Letters 172, 65-73, 2023 | 23 | 2023 |
Enhanced minutiae extraction for high-resolution palmprint recognition L Fei, S Teng, J Wu, I Rida International Journal of Image and Graphics 17 (04), 1750020, 2017 | 23 | 2017 |
Improved gait recognition based on gait energy images I Rida, S Almaadeed, A Bouridane 2014 26th International Conference on Microelectronics (ICM), 40-43, 2014 | 22 | 2014 |
Towards human body-part learning for model-free gait recognition I Rida arXiv preprint arXiv:1904.01620, 2019 | 21 | 2019 |
Feature extraction for temporal signal recognition: An overview I Rida arXiv preprint arXiv:1812.01780, 2018 | 20 | 2018 |