Bengali Handwritten Word Generation with GANs

This paper addresses the under-explored area of Bengali handwritten text generation, a task made difficult by the variability in handwriting styles and the lack of readily available datasets. The authors tackle this by creating their own dataset and applying Generative Adversarial Networks (GANs). This is significant because it contributes to a language with a large number of speakers and provides a foundation for future research in this area.

• •Addresses a gap in Bengali handwritten text generation research.
• •Utilizes a self-collected dataset of Bengali handwriting.
• •Employs Generative Adversarial Networks (GANs) for generation.
• •Demonstrates the ability to generate diverse handwritten outputs.