Artículos de revistas
Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers
Fecha
2016-12Registro en:
Rosso, Osvaldo Aníbal; Ospina, Raydonal; Frery, Alejandro César; Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers; Public Library of Science; Plos One; 11; 12; 12-2016; 1-43; e0166868
1932-6203
CONICET Digital
CONICET
Autor
Rosso, Osvaldo Aníbal
Ospina, Raydonal
Frery, Alejandro César
Resumen
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and the Fisher information evaluated over the Bandt and Pompe symbolization of the horizontal and vertical coordinates of signatures. These six features are easy and fast to compute, and they are the input to an One-Class Support Vector Machine classifier. The results are better than state-of-the-art online techniques that employ higher-dimensional feature spaces which often require specialized software and hardware. We assess the consistency of our proposal with respect to the size of the trainingsample, and we also use it to classify the signatures into meaningful groups.