Document Image De-warping for Text/Graphics Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Rectifying the Bound Document Image Captured by the Camera: A Model Based Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Document capture using stereo vision
Proceedings of the 2004 ACM symposium on Document engineering
Restoring 2D Content from Distorted Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Restoration of arbitrarily warped document images based on text line and word detection
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Interactive system for image based 3D modelling and rendering from single view perspective images
International Journal of Computational Vision and Robotics
Restoration of arbitrarily warped document images based on text line and word detection
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Restoring Chinese documents images based on text boundary lines
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Book scanner dewarping with weak 3d measurements and a simplified surface model
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Textline information extraction from grayscale camera-captured document images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Correcting bound document images based on automatic and robust curved text lines estimation
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Border noise removal of camera-captured document images using page frame detection
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
An image based performance evaluation method for page dewarping algorithms using SIFT features
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
The IUPR dataset of camera-captured document images
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
Receipts2Go: the big world of small documents
Proceedings of the 2012 ACM symposium on Document engineering
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Digital cameras have become almost ubiquitous and their use for fast and casual capturing of natural images is unchallenged. For making images of documents, however, they have not caught up to flatbed scanners yet, mainly because camera images tend to suffer from distortion due to the perspective and are therefore limited in their further use for archival or OCR. For images of non-planar paper surfaces like books, page curl causes additional distortion, which poses an even greater problem due to its nonlinearity. This paper presents a new algorithm for removing both perspective and page curl distortion. It requires only a single camera image as input and relies on a priori layout information instead of additional hardware. Therefore, it is much more user friendly than most previous approaches, and allows for flexible ad hoc document capture. Results are presented showing that the algorithm produces visually pleasing output and increases OCR accuracy, thus having the potential to become a general purpose preprocessing tool for camera based document capture.