2009 International Joint Conference on Computational Sciences and Optimization A Multi-stage Adaptive Binarization Scheme for Document Images Sanya, Hainan, China April 24-April 26 ISBN: 978-0-7695-3605-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSO.2009.482
In this paper, we will present a multi-stage adaptive binarization scheme for document images taken under challenging illumination condition. The approach includes two phases. In the first phase, the document image is roughly separated into background part and text part based on a coarse adaptive method. In the second phase, based on the information obtained in the previous stage, the document image is iteratively binarized using local thresholds computed based on local information. Results are presented to illustrate the algorithm’s effective performance for document images.
Citation:
Jiang Duan, Mengyang Zhang, Qing Li, "A Multi-stage Adaptive Binarization Scheme for Document Images," cso, vol. 1, pp.867-869, 2009 International Joint Conference on Computational Sciences and Optimization, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||