HHD_gender

The HHD_gender dataset contains 819 handwritten forms written by volunteers of different educational backgrounds and ages (as young as 11 years old and as old as late 60s), both native and non-native Hebrew speakers. There are 50 variations of the forms; each form contains a text paragraph with 62 words on average. For the experiments, the HHD gender dataset was randomly subdivided into training (80%), validation (10%), and test (10%) sets. --------------------------------------------------------------------------------------------------------------- This database may be used for non-commercial research purpose only. If you publish material based on this database, we request you to include a reference to the following papers: [1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020, DOI: 10.1109/ICFHR2020.2020.00050 [2] I. Rabaev, M. Litvak, S. Asulin and O.H. Tabibi. Automatic Gender Classification from Handwritten Images: a Case Study, the 19th International Conference on Computer Analysis of Images and Patterns, 2021.