Precise Segmentation for Children Handwriting Analysis by Combining Multiple Deep Models with Online Knowledge-Reference-Cited by-同舟云学术

Precise Segmentation for Children Handwriting Analysis by Combining Multiple Deep Models with Online Knowledge

Published:2023 Issue: Volume: Page:236-252
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Corbillé Simon^ORCID,Anquetil Éric^ORCID,Fromont Élisa^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-41685-9_15

Reference28 articles.

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2. Anquetil, E., Lorette, G.: Perceptual model of handwriting drawing application to the handwriting segmentation problem. In: 4th International Conference Document Analysis and Recognition (ICDAR 1997), 2-Volume Set, 18–20 August 1997, Ulm, Germany, Proceedings, p. 112. IEEE Computer Society (1997)

3. Anquetil, E., Lorette, G.: On-line handwriting character recognition system based on hierarchical qualitative fuzzy modelling. In: Progress in Handwriting Recognition, pp. 109–116 (1997)

4. Simonnet, D., Girard, N., Anquetil, É., Renault, M., Thomas, S.: Evaluation of children cursive handwritten words for e-Education. Pattern Recogn. Lett. 121, 133–139 (2019)

5. Michael, J., Labahn, R., Grüning, T., Zöllner, J.: Evaluating sequence-to-sequence models for handwritten text recognition. In: 2019 International Conference on Document Analysis and Recognition, ICDAR 2019, Sydney, Australia, 20–25 September 2019, pp. 1286–1293. IEEE (2019)

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