A robust and fast text extraction in images and video frames

Abstract

Text detection in a color images is a very challenging problem. This paper gives an algorithm for detecting text in images. Experimental results on indoor, outdoor, captcha and Video frames images show that this method can detect text characters accurately. In this paper the proposed algorithm define the unite effect of the advantages of various previous approaches to find out the text, and focus on finding the text. Our experimental result on four different type images show that the technique based on line edge detection is reasonably better than the existing approach. This algorithm has 95.29% recall rate and average computed time is 3.645 second for English text. This is quicker than other existing methods and is robust to language, font- color and size. © 2011 Springer-Verlag Berlin Heidelberg.