Author:
Belaïd Abdel,Rangoni Yves
Publisher
Springer Berlin Heidelberg
Reference28 articles.
1. Marinai, S., Gori, M., Soda, G.: Artificial neural networks for document analysis and recognition. Pattern Analysis And Machine Intelligence 27(1) (2005) 23-35
2. Chi, Z., Wong, K.: A two-stage binarization approach for document images. In-ternational Symposium on Intelligent Multimadia, Video and Speech Processing (2001) 275-278
3. Hamza, H., Smigiel, E., Belaïd, A.: Neural based binarization techniques. Inter- national Conference on Document Analysis and Recognition 4(8) (2005) 317-321
4. Whichello, A.P., Yan, H.: Linking broken character borders with variable sized mask to improve recognition. Pattern Recognition 29(8) (1995) 1429-1435
5. Le Cun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE 86(11) (1998) 2278-2324
Cited by
3 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
1. Learning Algorithms for Document Layout Analysis;Handbook of Statistics - Machine Learning: Theory and Applications;2013
2. Labelling logical structures of document images using a dynamic perceptive neural network;International Journal on Document Analysis and Recognition (IJDAR);2011-03-03
3. Logical Structure Recovery in Scholarly Articles with Rich Document Features;International Journal of Digital Library Systems;2010