Author:
Anand Harshit,Singh Milind,Rawade Vivian,Sahoo Shubham,Mishra Sushruta,Abualigah Laith
Publisher
Springer Nature Singapore
Reference25 articles.
1. Souibgui, M.A., Jemni, S.K., Kessentini, Y., Fornés, A.: Enhance to read better: a multi-task adversarial network for handwritten document image enhancement. Pattern Recognit. 123, 108370, ISSN 0031-320 (2022)
2. Sudholt, S., Fink, G.A.: PHOCNet: a deep convolutional neural network for word spotting in handwritten documents. In: Proceedings of the 14th International Conference on Document Analysis and Recognition (ICDAR), pp. 1122–1127 (2017)
3. Voigtlaender, P., Doetsch, P., Ney, H.: Handwriting recognition with large multidimensional long short-term memory recurrent neural networks. In: Proceedings of the 14th International Conference on Document Analysis and Recognition (ICDAR), pp. 31–36 (2017)
4. Hu, L., Zanibbi, R.: MST-based parsing of online handwritten mathematical expressions. In: Proceedings of the 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 541–545 (2015)
5. Goyal, S., Jayasree, A.R., Balasubramanian, R.: Handwritten text recognition using ensemble of deep convolutional neural networks. In: Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 181–186 (2018)