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A Nonparametric Functional Method for Signature Recognition

Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

We propose to use nonparametric functional data analysis techniques within the framework of a signature recognition system. Regarding the signature as a random function from \( \mathbb{R} {\rm(time \,domain)\,to}\, \mathbb{R}^2\) (position (x,y) of the pen), we tackle the problem as a genuine nonparametric functional classification problem, in contrast to currently used biometrical approaches. A simulation study on a real data set shows good results.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.University of New South WalessydneyAustralia

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