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....
This article presents a global optimization approach to reconstruct surfaces from a single document image. Instead of assuming globally developable in previous works which restric...
Yuanlong Shao, Xinguo Liu, Xueying Qin, Yi Xu, Huj...
In this paper, we propose a novel approach for understanding and analyzing the online handwritten chemical formulas. With the structural characteristics, semantic rules, and more ...
† There is a significant need for a realistic dataset on which to evaluate layout analysis methods and examine their performance in detail. This paper presents a new dataset (and...
Apostolos Antonacopoulos, David Bridson, Christos ...
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
The recognition of handwritten characters, words, and text arouses great interest today. To develop the best working system is subject of many papers published. With this paper, m...
Text detection in video images has received increasing attention, particularly in scene text detection in video images, as it plays a vital role in video indexing and information ...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
In this paper, a new threshold correction method for document image binarization that is forcused on ruled-line extraction is presented. This method enhances the binary image of a...
We present a system that classifies pixels in a document image according to marking type such as machine print, handwriting, and noise. A segmenter module first splits an input ...
Under three-language formula, the destination address block of postal document of an Indian state is generally written in three languages: English, Hindi and the State official la...