Abstract: Highlights•Introduce a unified continual learning framework for multilingual handwritten text recognition.•Apply continual learning in two stages: self-supervised pretraining and fine-tuning.•Achieve state-of-the-art performance across English, Italian, and Russian handwriting recognition tasks using a single unified model.•Pioneer the first application of continual learning to a multilingual, single-model handwritten text recognition system.
External IDs:dblp:journals/eswa/DhiafSKFR25
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