Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts

Valy, Dona;Verleysen, Michel;Burie, Jean-Christophe
(2018) 16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018) — Location: Niagara Falls (USA) (5.August.2018)

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Authors
  • Valy, DonaUCLouvain
    Author
  • Verleysen, MichelUCLouvain
    Author
  • Burie, Jean-ChristopheLaboratoire Informatique Image Interaction (L3i), University of La Rochelle, France
    Author
Abstract
This paper presents methods for two historical document analysis tasks on digitized Khmer palm leaf manuscripts. The first task consisting of isolated character recognition is conducted utilizing different types of neural network architectures such as CNN, LSTM-RNN, and a combination of both. The second task focuses on recognizing word/text image patches of variable length and simultaneously localizing each glyph in the text image. For this task, according to the characteristic of Khmer writing system, both one-dimensional and two-dimensional RNN are used.
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Valy, D., Verleysen, M., & Burie, J.-C. (2018). Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts. Proceedings of ICFHR 2018, 6. https://doi.org/10.1109/ICFHR-2018.2018.00012 (Original work published 2018)