4 papers
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz +1
SigNet is a state of the art model for feature representation used for handwritten signature verification (HSV). This representation is based on a Deep Convolutional Neural Network…
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz +1
This paper investigates the presence of overfitting when using Binary Particle Swarm Optimization (BPSO) to perform the feature selection in a context of Handwritten Signature Veri…
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz +1
High number of writers, small number of training samples per writer with high intra-class variability and heavily imbalanced class distributions are among the challenges and diffic…
A writer-independent approach for offline signature verification using deep convolutional neural networks features
Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin
The use of features extracted using a deep convolutional neural network (CNN) combined with a writer-dependent (WD) SVM classifier resulted in significant improvement in performanc…