Lalita Kumari

Multi-Scale Transformer-Based Lexicon-Guided Handwritten Text Recognition Using Adaptive Feature Fusion

This paper proposes a Multi-Scale Transformer-Based Lexicon-Guided HTR framework built around an Adaptive Feature Fusion (AFF) mechanism, which trains a Transformer encoder with multi-head self-attention that models long-range context far more effectively than bidirectional recurrent layers.