most citedHandwriting-Based Gender Classification Using End-to-End Deep Neural Networks

26 citations · 26 across the 1 of their papers we have counts for

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1 paper

cs.CV2019★ 26 cited

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

Evyatar Illouz, Eli David, Nathan S. Netanyahu

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 d…