Paper Info
Title
Document Image Dewarping using Robust Estimation of Curled Text Lines
Abstract
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.
Year
DOI
Venue
2005
10.1109/ICDAR.2005.90
ICDAR-1
Keywords
Field
DocType
camera image,robust estimation,single camera image,new algorithm,digital camera,ocr accuracy,flatbed scanner,document image,non-planar paper surface,general purpose,causes additional distortion,additional hardware,curled text lines,estimation theory,robust estimator
Computer vision,General purpose,Pattern recognition,Computer science,A priori and a posteriori,Preprocessor,Artificial intelligence,User Friendly,Estimation theory,Camera image,Curl (mathematics),Distortion
Conference
ISSN
ISBN
Citations 
1520-5363
0-7695-2420-6
46
PageRank 
References 
Authors
1.94
5
3
Name
Order
Citations
PageRank
Adrian Ulges132826.61
Christoph H. Lampert22718125.52
Thomas M. Breuel32362219.10