||Handwritten character generation is a popular research topic with various applications. Various methods have been proposed in the literatures which are based on methods involving pattern recognition, machine learning and off late deep learning. However, realistic looking handwritten material generation mechanism are far from ideal for practical use. This seminar will focus on our approach towards solving this problem more specifically focused on medieval Swedish scripts. Ongoing research will be discussed with focus on a classical Recurrent Neural Network (RNN) based deep architecture, and means to take it further.