A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Image De-warping for Text/Graphics Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Correcting Document Image Warping Based on Regression of Curved Text Lines
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Cylindrical Surface Model to Rectify the Bound Document Image
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Estimation of 3D Shape of Warped Document Surface for Image Restoration
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
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Image warping caused by scanning, photocopying or photographing a document is a common problem in the .eld of document processing and understanding. Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. Experiments with various document samples and the resulting improvements of the text recognition rate achieved by a commercial OCR engine are also presented.