Preliminary Experiments on Automatic Gender Recognition Based on Online Capital Letters

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 26)

Abstract

In this paper we present some experiments to automatically classify online handwritten text based on capital letters. Although handwritten text is not as discriminative as face or voice, we still found some chance for gender classification based on handwritten text. Accuracies are up to 74%, even in the most challenging case of capital letters..

Keywords

on-line handwriting gender recognition capital letters de-identification 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Escola Universitària Politècnica de Mataró - TecnocampusBarcelonaSpain

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