2014 | OriginalPaper | Buchkapitel
Preliminary Experiments on Automatic Gender Recognition Based on Online Capital Letters
verfasst von : Marcos Faundez-Zanuy, Enric Sesa-Nogueras
Erschienen in: Recent Advances of Neural Network Models and Applications
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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..