Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images

  • B.Karanje U
  • Dagade R
N/ACitations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

Detecting text from an image is an important prerequisite for the content based image analysis process. To understand the contents of an image or the valuable information, there is need of analyzing the text appears in it. Various methods have been proposed over past years for text detection and extraction from different types of images, like scene image, born digital image and document image. In this paper, we describe the existing methods of text detection, text segmentation and character recognition from natural scene images with their features, advantages and disadvantages.

Cite

CITATION STYLE

APA

B.Karanje, U., & Dagade, R. (2014). Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images. International Journal of Computer Applications, 108(13), 39–43. https://doi.org/10.5120/18974-0472

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free