607 citations · 1k across the 14 of their papers we have counts for
14 papers
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…
A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios
Luiz A. Zanlorensi, Rayson Laroca, Diego R. Lucio +3
Recently, ocular biometrics in unconstrained environments using images obtained at visible wavelength have gained the researchers' attention, especially with images captured by mob…
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach
Rayson Laroca, Alessandra B. Araujo, Luiz A. Zanlorensi +2
Existing approaches for image-based Automatic Meter Reading (AMR) have been evaluated on images captured in well-controlled scenarios. However, real-world meter reading presents un…
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…
Ocular Recognition Databases and Competitions: A Survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz +3
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular re…
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
Rayson Laroca, Luiz A. Zanlorensi, Gabriel R. Gonçalves +3
This paper presents an efficient and layout-independent Automatic License Plate Recognition (ALPR) system based on the state-of-the-art YOLO object detector that contains a unified…
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi +2
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. We believe…
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
Luiz A. Zanlorensi, Eduardo Luz, Rayson Laroca +3
The use of iris as a biometric trait is widely used because of its high level of distinction and uniqueness. Nowadays, one of the major research challenges relies on the recognitio…
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
Evair Severo, Rayson Laroca, Cides S. Bezerra +4
The iris is considered as the biometric trait with the highest unique probability. The iris location is an important task for biometrics systems, affecting directly the results obt…
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
Rayson Laroca, Evair Severo, Luiz A. Zanlorensi +4
Automatic License Plate Recognition (ALPR) has been a frequent topic of research due to many practical applications. However, many of the current solutions are still not robust in…