This paper proposes a novel dewarping technique for document images of bound volumes. This technique is a kind of model fitting techniques for estimating the warp of each text li...
We examine some research issues in pattern recognition and image processing that have been spurred by the needs of digital libraries. Broader – and not only linguistic – conte...
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing i...
A large annotated corpus is critical to the development of robust optical character recognizers (OCRs). However, creation of annotated corpora is a tedious task. It is laborious, ...
—The skew-correction of scanned document image is a necessary step undergone before some processing. For the purpose of practical, robust, real-time of the algorithm, this paper ...
Scanned document images are nowadays becoming available in increasingly higher resolutions. Meanwhile, the variations in image quality within typical document collections increase...
Iuliu Konya Konya, Christoph Seibert, Stefan Eicke...
Graphics detection and recognition are fundamental research problems in document image analysis and retrieval. As one of the most pervasive graphical elements in business and gove...
Image registration is crucial for various image analysis tasks. In particular, most approaches to correction of bleed-through distortion on handwritten document images require the...
This paper proposes a document image binarization method, which is especially robust to the images degraded by uneven light condition, such as the camera captured document images....
While scanning pages from a thick, bound book, there are two sources of distortion in the document images: 1) shade along the book `spine', and 2) warping of the book surface...