Maximally Stable Extremal Region Approach for Text Detection in Natural Scene Images

Uma Karanje , Rahul Dagade , Sankirti Shiravale

Text detection, Maximally Stable Extremal Regi ons, Morphological filter, text construction.

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.

Published Paper   E-Certificate

"Maximally Stable Extremal Region Approach for Text Detection in Natural Scene Images", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 11, page no.161 - 168, November-2016, Available :https://ijsdr.org/papers/IJSDR1611028.pdf

Volume 1 Issue 11, November-2016

Pages : 161 - 168

Paper Reg. ID: IJSDR_160764

Published Paper Id: IJSDR1611028

Downloads: 000347432

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1611028

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1611028

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition