Text Extraction from Images Using Connected Component Method

Authors

  • Arvind Belure Computer Science and Engineering Department, U.B.D.T College of Engineering, Visvesvaraya Technological University, Davangere, Karnataka, India
  • Mohamed Rafi Computer Science and Engineering Department, U.B.D.T College of Engineering, Visvesvaraya Technological University, Davangere, Karnataka, India

Keywords:

Text Information Extraction (TIE), Text Detection, Connected Component Method.

Abstract

Text information from image serves as an important clue for many image based applications. it has been used in many different applications such as; document analysis, vehicle licence plate extraction, content based information indexing, To name a few, the detection and extraction of text regions in images is a well-known problem in computer vision and image processing. However, variation of these texts due to differences in size, orientation style, and alignment, as well as low image contrast and complex background make problem of automatic text detection and extraction tremendously difficult and challenging one. Here the connected component method applied on the dataset which includes the images which categorized according to the language of the scene text
captured.

References

Jung K., Kim K.I., Jain A.K. Text Information Extraction in Images and Video: A Survey. Patt. Recogn. 2004; 37(5): 977–997p.

Lienhart R., Effelsberg W. Automatic Text Segmentation and Text Recognition for Video Indexing. Multimedia Syst. 2000; 8:

–81p.

C.M. Lee, Kankanhalli A. Automatic Extraction of Characters in Complex Images, Int. J. Pattern Recogn. 1995; 9(1):

–82p.

Jain A. K., Y u B. Automatic Text Location in Images and Video Frames. In Proc. of International Conference of Pattern

Recognition (ICPR), Brisbane, 1998, 1497–1499p.

Garcia C., Apostolidis X. T EXT Detection and Segmentation in Complex Color Images. In Proc. of International

Conference on Acoustics, Speech and Signal Processing (ICASSP2000), Istanbul, 2000; 4: 2326–2330p.

Cai M., Song J., Lyu M. R. A New Approach for Video Text Detection. In Proc. of International Conference on Image Processing, Rochester, New York, USA, 2002; 117–120p.

Julinda Gallavata, Ralph Ewerth, Bernd Friesleben, A Robust Algorithm for Text Detection in Images, Proceedings of 3

International Symposium on Image and Signal Processing and Analysis, 2003.

Downloads

Published

2014-08-05

Issue

Vol. 1 No. 2 (2014)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.