|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | Maximally Stable Extremal Region Approach for Text Detection in Natural Scene Images |
| Authors Name: | Uma Karanje , Rahul Dagade , Sankirti Shiravale |
| Unique Id: | IJSDR1611028 |
| Published In: | Volume 1 Issue 11, November-2016 |
| Abstract: | Text detection method discovers the presence of text in images, videos, etc. This technique is very needful for many applications, based on content based image analysis, such as web image search, map analysis, video information retrieval, etc. It is very challenging to detect the text from natural scene images due to its complex background and noise. The objective is to design a text detection system which will be able to detect maximum characters from natural scene images. In this text detection system, first, the input natural scene image is pre-processed. The input color image is converted into grey and then Otsu binarization algorithm is applied on grey scale image. Then, in the next stage, character candidates are extracted from binarized image using the MSERs region detector algorithm. MSER will extract various features from input image and then divide it into number of different regions. Then, morphological filter is applied to remove noise and unwanted regions detected by MSER. After morphological operation some heuristic rules are applied to these regions; which removes non-text candidates. The probability of text is estimated by calculating features like height, width and area of contours. Finally, text candidates corresponding to true texts are constructed and displayed using rectangle. |
| Keywords: | Text detection, Maximally Stable Extremal Regi ons, Morphological filter, text construction. |
| Cite Article: | "Maximally Stable Extremal Region Approach for Text Detection in Natural Scene Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 11, page no.161 - 168, November-2016, Available :http://www.ijsdr.org/papers/IJSDR1611028.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1611028 Registration ID:160764 Published In: Volume 1 Issue 11, November-2016 DOI (Digital Object Identifier): Page No: 161 - 168 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn