Classification of handwritten signatures based on name legibility

Javier Galbally; Julian Fierrez; Javier Ortega-Garcia

doi:10.1117/12.719236

12 April 2007 Classification of handwritten signatures based on name legibility

Javier Galbally, Julian Fierrez, Javier Ortega-Garcia

Proceedings Volume 6539, Biometric Technology for Human Identification IV; 653907 (2007) https://doi.org/10.1117/12.719236
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Javier Galbally, Julian Fierrez, and Javier Ortega-Garcia "Classification of handwritten signatures based on name legibility", Proc. SPIE 6539, Biometric Technology for Human Identification IV, 653907 (12 April 2007); https://doi.org/10.1117/12.719236

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