91 citations · 92 across the 2 of their papers we have counts for
8 papers
Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning
Rayson Laroca, Alessander Cidral Boslooper, David Menotti
In this work, we present a robust and efficient solution for counting and identifying train wagons using computer vision and deep learning. The proposed solution is cost-effective…
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…
Convolutional Neural Networks for Automatic Meter Reading
Rayson Laroca, Victor Barroso, Matheus A. Diniz +3
In this paper, we tackle Automatic Meter Reading (AMR) by leveraging the high capability of Convolutional Neural Networks (CNNs). We design a two-stage approach that employs the Fa…
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…