IEEE - Institute of Electrical and Electronics Engineers, Inc. - Data Driven Feature Extraction for Gender Classification using Multi-Script Handwritten Texts

2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)

Author(s): Momina Moetesum ; Imran Siddiqi ; Chawki Djeddi ; Yaacoub Hannad ; Somaya Al-Maadeed
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2018
Conference Location: Niagara Falls, NY, USA, USA
Conference Date: 5 August 2018
Page(s): 564 - 569
ISBN (Electronic): 978-1-5386-5875-8
DOI: 10.1109/ICFHR-2018.2018.00104
Regular:

This paper presents a study on assessing the effectiveness of machine learned features to predict gender of writers from images of handwriting. Pre-trained Convolutional Neural Networks have been... View More

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