Papers › Motion-Based Handwriting Recognition and Word Reconstruction

Motion-Based Handwriting Recognition and Word Reconstruction

15 Jan 2021arXiv:2101.06025archive 2025-07-28

Junshen Kevin Chen, Wanze Xie, Yutong He

In this project, we leverage a trained single-letter classifier to predict the written word from a continuously written word sequence, by designing a word reconstruction pipeline consisting of a dynamic-programming algorithm and an auto-correction model. We conduct experiments to optimize models in this pipeline, then employ domain adaptation to explore using this pipeline on unseen data distributions.

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Domain AdaptationHandwriting Recognition

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