1 code implementation • 2 Jan 2022 • Rayson Laroca, Everton V. Cardoso, Diego R. Lucio, Valter Estevam, David Menotti
Automatic License Plate Recognition (ALPR) systems have shown remarkable performance on license plates (LPs) from multiple regions due to advances in deep learning and the increasing availability of datasets.
no code implementations • 24 Nov 2020 • Luiz A. Zanlorensi, Rayson Laroca, Diego R. Lucio, Lucas R. Santos, Alceu S. Britto Jr., David Menotti
Thus, the use of datasets containing many subjects is essential to assess biometric systems' capacity to extract discriminating information from the periocular region.
Ranked #1 on Image Classification on Imbalanced CUB-200-2011
no code implementations • 12 Feb 2020 • Gabriela Y. Kimura, Diego R. Lucio, Alceu S. Britto Jr., David Menotti
The iris pattern has significantly improved the biometric recognition field due to its high level of stability and uniqueness.
no code implementations • 21 Nov 2019 • Luiz A. Zanlorensi, Diego R. Lucio, Alceu S. Britto Jr., Hugo Proença, David Menotti
One of the major challenges in ocular biometrics is the cross-spectral scenario, i. e., how to match images acquired in different wavelengths (typically visible (VIS) against near-infrared (NIR)).
no code implementations • 31 Jul 2019 • Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi, Gladston Moreira, David Menotti
In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN.
no code implementations • 4 Sep 2018 • Cides S. Bezerra, Rayson Laroca, Diego R. Lucio, Evair Severo, Lucas F. Oliveira, Alceu S. Britto Jr., David Menotti
In this paper, two approaches for robust iris segmentation based on Fully Convolutional Networks (FCNs) and Generative Adversarial Networks (GANs) are described.
no code implementations • 22 Jun 2018 • Diego R. Lucio, Rayson Laroca, Evair Severo, Alceu S. Britto Jr., David Menotti
The initial and paramount step for performing this type of recognition is the segmentation of the region of interest, i. e. the sclera.