Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2006.458
Title: Document flattening through grid modeling and regularization
Authors: Lu, S. 
Tan, C.L. 
Issue Date: 2006
Source: Lu, S.,Tan, C.L. (2006). Document flattening through grid modeling and regularization. Proceedings - International Conference on Pattern Recognition 1 : 971-974. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2006.458
Abstract: For document images captured by a digital camera, perspective and geometric distortions make it hard to recognize the document content properly. In this paper, we propose an integrated document restoration technique, which is capable of removing perspective and geometric distortions, and producing a flattened and fronto-parallel text image that is friendly to the generic OCR systems. The proposed document restoration is accomplished through grid modeling, which divides camera images into multiple quadrilateral grids using vertical text directions and the x lines and base lines. The global distortions are then removed through grid regularisation that transforms the quadrilateral grids together with the pixel contents to the regular square grids. Experimental results show the proposed method is fast and easy for implementation. © 2006 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/40354
ISBN: 0769525210
ISSN: 10514651
DOI: 10.1109/ICPR.2006.458
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