2021
DOI: 10.36227/techrxiv.13903661.v2
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Hybrid Architecture based on RNN-SVM for Multilingual Handwriting Recognition using Beta-elliptic and CNN models

Abstract: Currently, deep learning approaches have proven successful in the areas of handwriting recognition. Despite this, research in this field is still needed, especially in the context of multilingual online handwriting recognition scripts by adopting new network architectures and combining relevant parametric models. In this paper, we propose a multi-stage deep learning-based algorithm for multilingual online handwriting recognition based on hybrid deep Bidirectional Long Short Term Memory (DBLSTM) and SVM network… Show more

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Cited by 2 publications
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