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Ocular Recognition Databases and Competitions: A Survey., , , , , and . CoRR, (2019)UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios., , , , , and . CoRR, (2020)SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment., , , , , , , , , and 33 other author(s). IJCB, page 1-10. IEEE, (2020)A Benchmark for Iris Location and a Deep Learning Detector Evaluation., , , , , , and . IJCNN, page 1-7. IEEE, (2018)Ocular recognition databases and competitions: a survey., , , , , and . Artif. Intell. Rev., 55 (1): 129-180 (2022)Deep Representations for Cross-spectral Ocular Biometrics., , , , and . CoRR, (2019)Simultaneous Iris and Periocular Region Detection Using Coarse Annotations., , , , and . SIBGRAPI, page 178-185. IEEE, (2019)Towards Image-Based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach., , , , and . IEEE Access, (2021)Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization., , and . ICIP, page 1361-1365. IEEE, (2020)Deep periocular representation aiming video surveillance., , , and . Pattern Recognit. Lett., (2018)