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...

Acknowledgement This paper is the final paper in a series of monographs on the impacts of electricity restructuring on the environment. Much of the background work for this manuscript was done by Gil Bindewald. Shashank Goel assisted with the calculations in the Appendices, and Karen Filipovich and Isabelle Morin were invaluable in tracking down data and editing drafts. do not necessarily refle...

Standard signature verification (SV) systems are writer-dependent (WD), where a specific classifier is designed for each individual. It is inconvenient to ask a user to provide enough number of signature samples to design his WD classifier. In practice, very few samples are collected and inaccurate classifiers maybe produced. To overcome this, writer-independent (WI) systems are introduced. A g...