S. Gulhane

Transformer Framework with Dynamic Learning Rate Optimisation for Offline Devanagari Character Recognition

A unified multi-attention framework was developed that explicitly optimises structural handwritten character script recognition through an adaptive multi-phase learning-rate schedule, incorporating global and hierarchical local transformer operations (ViT and Swin Transformer), respectively.