A deep convolutional neural network model is presented here which uses deep learning
features for text and non-text region segmentation from document images. The key objective …

Text Extraction plays a major role in finding vital and valuable information. Text extraction
involves detection, localization, tracking, binarization, extraction, enhancement and …

Text extraction in an image is a challenging task in the computer vision. Text extraction plays
an important role in providing useful and valuable information. This paper discusses various …

In today's quick world of images and videos, text extraction became the responsibility of
machine/deep learning techniques. The various techniques utilized for text extraction …

Threshold selection for text segmentation is an essential preprocessing step in most
document processing algorithms. Although there are a number of sophisticatedly well …

During past years, text extraction in document images has been widely studied in the
general context of Document Image Analysis (DIA) and especially in the framework of layout …

This paper presents a methodology for extracting text from images such as document
images, scene images etc. Text that appears in these images contains important and useful …

Since decades, several attempts have been made on Web based research particularly
based on HTML web pages because of their more availability. But, W3 consortium stated …

Augmented Reality (AR) is one of the Ubiquitous Computing Technologies that can be used
for realizing Internet of Things (IoT) application. The fact is to create an artificial world that …

A new technique for text detection inside a complex graphical background, its extraction,
and enhancement to be easily recognized using the optical character recognition (OCR) …