activity
20172020
most citedLearning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks

387 citations · 446 across the 6 of their papers we have counts for

collaborators

17 papers

cs.LG2020

Classifier Pool Generation based on a Two-level Diversity Approach

Marcos Monteiro, Alceu S. Britto, Jean P. Barddal +2

This paper describes a classifier pool generation method guided by the diversity estimated on the data complexity and classifier decisions. First, the behavior of complexity measur…

cs.CV20201 cited

Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images

Gustavo Z. Felipe, Jacqueline N. Zanoni, Camila C. Sehaber-Sierakowski +6

Studies recently accomplished on the Enteric Nervous System have shown that chronic degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of recogni…

cs.CV2020

A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition

Andre G. Hochuli, Alceu S. Britto, David A. Saji +3

Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby impos…

cs.IR2020

Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service

Mariana Y. Noguti, Eduardo Vellasques, Luiz S. Oliveira

In recent years, there has been an increased interest in the application of Natural Language Processing (NLP) to legal documents. The use of convolutional and recurrent neural netw…

cs.CV2020

Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation

Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto +1

Usually, in a real-world scenario, few signature samples are available to train an automatic signature verification system (ASVS). However, such systems do indeed need a lot of sig…

cs.CV2020

Single-sample writers -- "Document Filter" and their impacts on writer identification

Fabio Pinhelli, Alceu S. Britto, Luiz S. Oliveira +2

The writing can be used as an important biometric modality which allows to unequivocally identify an individual. It happens because the writing of two different persons present dif…