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D. Ch

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Open access Aug 2026

Improved Recognition of Telugu Handwritten Characters Through Synthetic Data Generation and Attention-Based Modelling

The proposed system outperforms several current CNN-, RNN-, and heuristic-based techniques, achieving character recognition accuracy of 97.89% and word recognition accuracy of 97.34%, and confirms the efficacy of integrating transformer-based learning with generative AI.

Padmavathi Pragada, D. Ch · Engineering Research Express · 0 citations