Document images captured in natural scenes with a hand-held camera often suffer from
geometric distortions and cluttered backgrounds. In this paper, we propose a simple yet …

This paper presents a new document image dewarping method that removes geometric
distortions in camera-captured document images. The proposed method does not directly …

Document digitization with either flatbed scanners or camera-based systems results in
document images which often suffer from warping and perspective distortions that …

Conventional text-line based document dewarping methods have problems when handling
complex layout and/or very few text-lines. When there are few aligned text-lines in the …

In this paper, we propose a metric rectification method to restore an image from a single
camera-captured document image. The core idea is to construct an isometric image mesh by …

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

This paper proposes a segment-free method for geometric rectification of a distorted
document image captured by a hand-held camera. The method can recover the 3D page …

The distorted images have been a major problem for Optical Character Recognition (OCR).
In order to perform OCR on distorted images, dewarping has become a principal …

Paper documents are ideal sources of useful information and have a profound impact on
every aspect of human lives. These documents may be printed or handwritten and contain …

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 …