In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

Text-line extraction in unconstrained handwritten documents remains a challenging problem
due to nonuniform character scale, spatially varying text orientation, and the interference …

Automated dewarping of camera-captured handwritten documents is a challenging research
problem in Computer Vision and Pattern Recognition. Most available systems assume the …

Text line segmentation is an essential step in the process of converting document images
into text. In OCR systems, text line segmentation affects the character segmentation stage …

This paper proposes a new approach to the estimation of document states such as interline
spacing and text line orientation, which facilitates a number of tasks in document image …

Binarization is an important step in reading text documents automatically through optical
character recognition. Old document images often suffer from degradations that make their …

This paper presents a new adaptive binarization technique for degraded hand-held camera-
captured document images. The state-of-the-art locally adaptive binarization methods are …

Camera-based text processing has attracted considerable attention and numerous methods
have been proposed. However, most of these methods have focused on the scene text …

Camera-captured, warped document images usually contain curled text-lines because of
distortions caused by camera perspective view and page curl. Warped document images …

Cameras offer flexible document imaging, but with uneven shading and non-planar page
shape. Therefore camera captured documents need to go through dewarping before being …