Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.imavis.2006.02.008
Title: A partition approach for the restoration of camera images of planar and curled document
Authors: Lu, S. 
Chen, B.M. 
Ko, C.C. 
Keywords: Document image analysis
Document image rectification
Fuzzy sets
Morphological image processing
Optical character recognition
Issue Date: 2006
Source: Lu, S., Chen, B.M., Ko, C.C. (2006). A partition approach for the restoration of camera images of planar and curled document. Image and Vision Computing 24 (8) : 837-848. ScholarBank@NUS Repository. https://doi.org/10.1016/j.imavis.2006.02.008
Abstract: As camera resolution increases, high-speed non-contact text capture through a digital camera is opening up a new channel for text capture and understanding. Unfortunately, the captured document images are normally coupled with the perspective and geometric distortions that cannot be handled by the existing optical character recognition (OCR) systems. In this paper, we propose a new technique, which is capable of removing the perspective and geometric distortions, and reconstructing the fronto-parallel view of text with a single document image. Different from reported approaches in the literature, the restoration of the distorted camera documents is carried out through the image partition, which divides the documents into multiple small image patches where text can be approximated to lie on a planar surface. The global distortion is thus corrected through the local rectification of the partitioned image patches one by one. Experimental results show that the proposed method is fast and easy for implementation. © 2006 Elsevier B.V. All rights reserved.
Source Title: Image and Vision Computing
URI: http://scholarbank.nus.edu.sg/handle/10635/43113
ISSN: 02628856
DOI: 10.1016/j.imavis.2006.02.008
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