2011 | OriginalPaper | Chapter
A Robust and Fast Text Extraction in Images and Video Frames
Authors : Anubhav Kumar, Awanish Kr. Kaushik, R. L. Yadav, Anuradha
Published in: Advances in Computing, Communication and Control
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.