alexa A Study of Text Localization Algorithms for Complex Im
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Study of Text Localization Algorithms for Complex Images

Niti Syal1 and Naresh Kumar Garg2
  1. M.Tech Student, Dept. of CSE, GZS PTU Campus, Bathinda, India
  2. Assistant. Professor, Dept. of CSE., GZS PTU Campus, Bathinda, India
Related article at Pubmed, Scholar Google


With the advancement of the digital technology, the multimedia databases are increasing every day. The databases usually contain images and videos in addition to the textual information. Several papers have been reported in the literature and numerous algorithms are proposed for text localization in natural images and videos. All these algorithms are proposed considering the different properties of text that helps to distinguish the text regions from the other regions in the natural scenes. In this paper, review of text localization is given. It will help the beginner’s to start their work in the field of text localization.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version