Classification of handwritten signatures based on name legibility

Abstract

Javier Galbally ; Julian Fierrez ; Javier Ortega-Garcia; "Classification of handwritten signatures based on name legibility", Biometric Technology for Human Identification IV, Proc. SPIE 6539 (April 12, 2007); doi:10.1117/12.719236. Copyright 2007 Society of Photo‑Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.Proceedings of the IV Biometric Technology for Human Identification (Orlando, Florida, USA)An automatic classification scheme of on-line handwritten signatures is presented. A Multilayer Perceptron (MLP) with a hidden layer is used as classifier, and two different signature classes are considered, namely: legible and non-legible name. Signatures are represented considering different feature subsets obtained from global information. Mahalanobis distance is used to rank the parameters and feature selection is then applied based on the top ranked features. Experimental results are given on the MCYT signature database comprising 330 signers. It is shown experimentally that automatic on-line signature classification based on the name legibility is feasible.This work was supported by the Spanish Ministry of Science and Technology under project TIC2003-08382-C05-01 and the European Network of Excellence Biosecure (IST-2002-507634)