Using a novel apparatus coupling a visual illusion with an eye tracker device, trained participants are able to generate smooth pursuit eye movements, even without a target to follow. This allows them to perform arbitrary continuous shapes, and, for instance, write letters with their eyes. In a previous study, based on data from a single writer (author JL), we developed and tested a Bayesian co...

In this work we present a method for selecting instances for a writer identification system underpinned on the dissimilarity representation and a holistic representation based on texture. The proposed method is based on a genetic algorithm that surpasses the limitations imposed by large training sets by selecting writers instead of instances. To show the efficiency of the proposed method, we ha...

SOCIAL psychologists warn us that communication between members of different subgroups in our culture is fraught with peril. Mindful of this peril, the writer presents in this paper a review of some research on the influence of af fective factors on classroom learning. A frame of reference is presented first. This is followed by a review of research on teacher-learner affective characteristics ...

Writer recognition based on a small amount of handwritten text is one the most challenging deep learning problems because implicit characteristics handwriting styles. In convolutional neural network, writer supervised has shown great success. These methods typically require lot annotated data. However, collecting data expensive. Although unsupervised may address annotation issues significantly,...

A robust authentication system for handwritten document images carries considerable importance. The authenticity of legal documents, such as wills, signatures, etc., needs to be verified, in order to prevent fraudulent acts. The characteristics of writing style vary from person to person; by analyzing the local features of handwriting, we can possibly identify the writer. In this paper, we intr...