22 citations · 23 across the 5 of their papers we have counts for
10 papers · 1 filter
An on-production high-resolution longitudinal neonatal fingerprint database in Brazil
Luiz F. P. Southier, Marcelo Filipak, Luiz A. Zanlorensi +5
The neonatal period is critical for survival, requiring accurate and early identification to enable timely interventions such as vaccinations, HIV treatment, and nutrition programs…
Using Deep Neural Networks to Quantify Parking Dwell Time
Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira +2
In smart cities, it is common practice to define a maximum length of stay for a given parking space to increase the space's rotativity and discourage the usage of individual transp…
Leveraging Model Fusion for Improved License Plate Recognition
Rayson Laroca, Luiz A. Zanlorensi, Valter Estevam +2
License Plate Recognition (LPR) plays a critical role in various applications, such as toll collection, parking management, and traffic law enforcement. Although LPR has witnessed…
ORCNet: A context-based network to simultaneously segment the ocular region components
Diego Rafael Lucio, Luiz A. Zanlorensi, Yandre Maldonado e Gomes da Costa +1
Accurate extraction of the Region of Interest is critical for successful ocular region-based biometrics. In this direction, we propose a new context-based segmentation approach, en…
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
Luiz A. Zanlorensi, Hugo Proença, David Menotti
Ocular biometric systems working in unconstrained environments usually face the problem of small within-class compactness caused by the multiple factors that jointly degrade the qu…
Deep Representations for Cross-spectral Ocular Biometrics
Luiz A. Zanlorensi, Diego R. Lucio, Alceu S. Britto +2
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-i…