Segmentation of Chinese Postal Envelope Images for Address Block Location
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-10520-3_53.pdf
Reference22 articles.
1. Lu, Y., Tan, C.L., Shi, P., Zhang, K.: Segmentation of Handwritten Chinese Characters from Destination Addresses of Mail Pieces. International journal of pattern recognition and artificial intelligence 16, 85–96 (2002)
2. Menoti, D., Borges, D.L., Facon, J., de Souza Britto Jr., A.: Segmentation of Postal Envelopes for Address Block Location: an approach based on feature selection in wavelet space. In: Proceedings of Seventh International Conference on Document Analysis and Recognition, pp. 699–703 (2003)
3. Yonekura, E.A., Facon, J.: Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform. In: Proceedings of the Seventh International Conference on Document Analysis and Recognition, vol. 1, pp. 338–342 (2003)
4. Menoti, D., Borges, D.L., et al.: Salient Features and Hypothesis Testing: evaluating a novel approach for segmentation and address block location. In: International Conference on Computer Vision and Pattern Recognition Workshop, vol. 3, pp. 26–33 (2003)
5. Legal-Ayala, H.A., Facon, J., Barán, B.: Postal Envelope Segmentation using Learning-Based Approach. CLEI Electron. J. 11 (2008)
Cited by 2 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. Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests;IEEE Transactions on Industrial Electronics;2018-05
2. Template generation from postmarks using cascaded unsupervised learning;Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing;2015-08-22
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