Publisher
Springer International Publishing
Reference34 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 In: International Workshop on Historical document Imaging and Processing, pp. 79–84 (2015)
2. Calvo-Zaragoza, J., Gallego, A.J.: A selectional auto-encoder approach for document image binarization. Pattern Recognit. 86, 37–47 (2019)
3. Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 (2017)
4. Cheriet, M., Moghaddam, R.F., Hedjam, R.: A learning framework for the optimization and automation of document binarization methods. Comput. Vis. Image Underst. 117(3), 269–280 (2013)
5. De, R., Chakraborty, A., Sarkar, R.: Document image binarization using dual discriminator generative adversarial networks. IEEE Signal Process. Lett. 27, 1090–1094 (2020)
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献