Luiz A. Zanlorensi is a Phd candidate in Computer Science at the Federal University of Paraná (UFPR). Graduated in Computer Science (2013) and Master in Applied Computing from the State University of Ponta Grossa (UEPG).

Areas of interest: Pattern Recognition, Biometrics, Computer Vision and Image Processing.

LinkedIn – Lattes CV (in Portuguese) Google Scholar – Research Gate

E-mail: lazjunior@inf.ufpr.br

  1. L. A. Zanlorensi “Deep Representations for Iris and Periocular Biometric Systems” Ph.D. thesis, Federal University of Paraná, Brazil, 2021.
  2. L. A. Zanlorensi, R. Laroca, E. Luz, A. S. Britto Jr, L. S. Oliveira, D. Menotti, “Ocular Recognition Databases and Competitions: A Survey” Artificial Intelligence Review, pp 1-52, 2021.
  3. R. Laroca, A. B. Araujo, L. A. Zanlorensi, E. C. de Almeida, D. Menotti, "Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach," IEEE Access, vol. 9, pp. 67569-67584, 2021.
  4. R. Laroca, L. A. Zanlorensi, G. R. Gonçalves , E. Todt, W. R. Schwartz, D. Menotti, “An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO Detector” IET Intelligent Transport Systems, pp. 1-21, 2021.
  5. L. A. Zanlorensi, D. R. Lucio, A. S. Britto Jr, H. Proença, D. Menotti, “Deep Representations for Cross-spectral Ocular Biometrics” In Press, IET Biometrics, pp. 68-77, 2020.
  6. L. A. Zanlorensi, R. Laroca, D. R. Lucio, L. R. Santos, A. S. Britto Jr., D. Menotti, "UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios," arXiv preprint arXiv:2011.12427, pp. 1-12, 2020.
  7. L. A. Zanlorensi, H. Proença, D. Menotti, “Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization” in International Conference on Image Processing (ICIP), pp. 1361-1365, Oct 2020.
  8. M. Vitek et al, “SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment” in International Joint Conference on Biometrics (IJCB), pp. 1-10, Oct 2020.
  9. D. R. Lucio, R. Laroca, L. A. Zanlorensi, G. Moreira, D. Menotti, “Simultaneous Iris and Periocular Region Detection Using Coarse Annotations” in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, Oct 2019.
  10. L. A. Zanlorensi, E. Luz, R. Laroca, A. S. Britto Jr., L. S. Oliveira, D. Menotti, “The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments” in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 289-296, Oct 2018.
  11. R. Laroca, E. Severo, L. A. Zanlorensi, L. S. Oliveira, G. R. Gonçalves, W. R. Schwartz, and D. Menotti, “A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector” in 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1–10, July 2018.
  12. E. Severo, R. Laroca, C. S. Bezerra, L. A. Zanlorensi, D. Weingaertner, G. Moreira, D. Menotti, “A Benchmark for Iris Location and a Deep Learning Detector Evaluation” in 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1–7, July 2018.
  13. P. H. Silva, E. Luz, L. A. Zanlorensi, D. Menotti, G. Moreira “Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning” in 2018 Congress on Evolutionary Computation (CEC), pp. 1–8, July 2018.
  14. E. Luz, G. Moreira, L. A. Zanlorensi Junior, D. Menotti, “Deep Periocular Representation aiming video surveillance” Pattern Recognition Letters, pp. 2-12, 2018.