Test-Time Augmentation for Document Image Binarization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36616-1_13
Reference19 articles.
1. Afzal, M.Z., Pastor-Pellicer, J., Shafait, F., Breuel, T.M., Dengel, A., Liwicki, M.: Document image binarization using LSTM: a sequence learning approach. In: Proc. of the 3rd International Workshop on Historical Document Imaging and Processing, pp. 79–84. New York, NY, USA (2015)
2. Ayatollahi, S.M., Nafchi, H.Z.: Persian heritage image binarization competition (PHIBC 2012). In: 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA), pp. 1–4. IEEE (2013)
3. Bainbridge, D., Bell, T.: The challenge of optical music recognition. Comput. Humanit. 35(2), 95–121 (2001)
4. Burie, J.C., et al.: ICFHR 2016 competition on the analysis of handwritten text in images of balinese palm leaf manuscripts. In: 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 596–601 (2016)
5. Calvo-Zaragoza, J., Gallego, A.J.: A selectional auto-encoder approach for document image binarization. Pattern Recogn. 86, 37–47 (2019)
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