Segmentation of text from badly degraded document images is a very challenging task due
to the high inter/intra-variation between the document background and the foreground text of …

This paper presents a new document image binarization technique that segments the text
from badly degraded historical document images. The proposed technique makes use of the …

Document images often suffer from different types of degradation that renders the document
image binarization a challenging task. This paper presents a document image binarization …

Scene text recognition is a useful but very challenging task due to uncontrolled condition of
text in natural scenes. This paper presents a novel approach to recognize text in scene …

Many digital images contain blurred regions which are caused by motion or defocus.
Automatic detection and classification of blurred image regions are very important for different …

Recognition of texts in scenes is one of the most important tasks in many computer vision
applications. Though different scene text recognition techniques have been developed, scene …

Automatic machine reading of texts in scenes is largely restricted by the poor character
recognition accuracy. In this paper, we extend the Histogram of Oriented Gradient (HOG) and …

Document image binarization has been studied for decades, and many practical binarization
techniques have been proposed for different kinds of document images. However, many …

Scene text recognition is a fundamental step in End-to-End applications where traditional
optical character recognition (OCR) systems often fail to produce satisfactory results. This …

The current OCR cannot segment words and characters from video images due to complex
background as well as low resolution of video images. To have better accuracy, this paper …