Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks

@inproceedings{Illouz2018HandwritingBasedGC,
  title={Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks},
  author={Evyatar Illouz and Eli David and Nathan S. Netanyahu},
  booktitle={ICANN},
  year={2018}
}
Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques. In this paper, we propose a novel deep learning-based approach for this task. Specifically, we present a convolutional neural network (CNN), which performs automatic feature extraction from a given handwritten image, followed by classification of the writer's gender. Also, we introduce a new dataset of labeled handwritten samples, in Hebrew and English… Expand
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