Smartphones have been known as most commonly used electronic devices in daily life
today. As hardware embedded in smartphones can perform much more task than traditional …

Building an effective methodology to detect characters from images with less error rate is the
great task. Our aim is to furnish such an algorithm that will be able to generate error free …

In this paper, character recognition is carried out using template matching scheme using
correlation. In our approach, in addition to correlation, the hamming distance was applied in …

Text detection and recognition in images taken in uncontrolled environments still remains a
challenge in computer vision. This paper presents a method to extract the text depicted in …

The travelers face troubles in understanding the signboards which are written in local
language. The travelers can rely on smart phone for traveling purposes. Smart phones …

SVG (scalable vector graphics) has become the standard format for 2D graphics in HTML5.
Although some image-to-SVG conversion systems had been proposed, the sizes of files they …

Scene text extraction is recent research area in the field of Computer Vision. Text component
in an image is of particular interest, as it is easy to understand by both humans as well as …

The rapid growth in communication technology leads to an effective way of sharing ideas
and information in form of speech or image. Understanding this information from any kind of …

Many Text Extraction methodologies have been proposed, but none of them are suitable to
be part of a real system implemented on a device with low computational resources, either …

In this study, optical character recognition (OCR) was carried out by using artificial neural
network. Negative correlation learning (NCL) method was used to teach artificial neural …