91 citations · 96 across the 3 of their papers we have counts for
5 papers · 1 filter
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks
Cides S. Bezerra, Rayson Laroca, Diego R. Lucio +4
The iris can be considered as one of the most important biometric traits due to its high degree of uniqueness. Iris-based biometrics applications depend mainly on the iris segmenta…
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…
Fully Convolutional Networks and Generative Adversarial Networks Applied to Sclera Segmentation
Diego R. Lucio, Rayson Laroca, Evair Severo +2
Due to the world's demand for security systems, biometrics can be seen as an important topic of research in computer vision. One of the biometric forms that has been gaining attent…
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…