Exploiting Insertion Symbols for Marginal Additions in the Recognition Process to Establish Reading Order

Author:

Stökl Ben Ezra DanielORCID,Brown-DeVost BronsonORCID,Jablonski Pawel

Publisher

Springer International Publishing

Reference12 articles.

1. Clausner, C., Pletschacher, S., Antonacopoulos, A.: The significance of reading order in document recognition and its evaluation. In: 12th International Conference on Document Analysis and Recognition (ICDAR), Washington DC, 2013, pp. 688–692, IEEE (2013)

2. Quirós, L., Vidal, E.: Learning to sort handwritten text lines in reading order through estimated binary order relations. In: 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event/Milan, Italy, January 10–15, 2021, pp. 7661–7668, IEEE (2020)

3. Prasad, A., Déjean, H., Meunier, J.-L.: Versatile layout understanding via conjugate graph. In: 15th International Conference on Document Analysis and Recognition, (ICDAR) Sydney, Australia, September 20–25, 2019, pp. 287–294, IEEE (2019)

4. Malerba, D., Ceci, M., Berardi, M.: Machine learning for reading order detection in document image understanding. In: Marinai, S., Fujisawa, H. (eds.), Machine Learning in Document Analysis and Recognition, Studies in Computational Intelligence, vol. 90, pp. 45–69, Springer, Berlin (2008). https://doi.org/10.1007/978-3-540-76280-5_3

5. Ferilli, S., Pazienza, A.: An Abstract Argumentation-based strategy for reading order detection. In: Proceedings of 1st AI*IA Workshop on Intelligent Techniques At Libraries and Archives colocated with XIV Conference of the Italian Association for Artificial Intelligence, IT@LIA@AI*IA 2015, Ferrara, Italy, September 22, 2015, CEUR Workshop Proceedings 1509, http://ceur-ws.org/Vol-1509/ITALIA2015$$\_$$paper$$\_$$1.pdf

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