Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model

Author:

Rabhi BesmaORCID,Elbaati Abdelkarim,Boubaker Houcine,Hamdi Yahia,Hussain Amir,Alimi Adel M.

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,General Computer Science

Reference30 articles.

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2. Bhunia AK, Bhowmick A, Bhunia AK, Konwer A, Banerjee P, Roy PP, Pal U (2018) Handwriting trajectory recovery using end-to-end deep encoder-decoder network. In: 2018 24th international conference on pattern recognition (ICPR). IEEE, pp 3639–3644

3. Sumi T, Iwana BK, Hayashi H, Uchida S (2019) Modality conversion of handwritten patterns by cross variational autoencoders. In: 2019 international conference on document analysis and recognition (ICDAR), pp 407–412

4. Nguyen HT, Nakamura T, Nguyen CT, Nakagawa M (2020) Online trajectory recovery from offline handwritten Japanese kanji characters of multiple strokes. In: 25th international conference on pattern recognition (ICPR). IEEE

5. Chung J, Gulcehre C, Cho K, Bengio Y (2014) Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555

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