Achieving good recognition results from a single method for text lines in video/natural scene
images captured by high resolution cameras or low resolution mobile cameras, and images …

We propose a new technique for the accurate segmentation of text strokes from an image.
The algorithm takes in a cropped image containing a word. It first performs a coarse …

There have been extensive studies and rapid improvements in automated document
categorization, document retrieval, document recommendations, etc. These trendy and …

This paper presents a multistage binarization technique for the degraded document images.
The proposed technique can deal with many types of the degradations, where we propose …

In this work the use of unsupervised machine learning in the morphological segmentation of
Nguni languages, evaluated on isiXhosa, is advanced. The work researches, extends …

Introduction: Segmentation and recognition of text from the scene image are a challenging
task due to blurred, low-resolution and small sized image. Materials and Methods …

We propose a new technique for the accurate segmentation of text strokes from an image.
The algorithm takes in a cropped image containing a word. It first performs a coarse …

Detecting and segmenting text in natural images is a challenging task which may find
application in multiple scenarios, such as video surveillance, forensic, video annotation …

In this paper, we propose a simple and robust algorithm for detection and retargeting of
emphasized words, written as italics, in a scanned document page. The detection of italics is …

Word recognition by a single algorithm from different image types, namely, video-scene,
video-caption, natural-scene, mobile camera, Born digital images, etc., is very difficult due to …