TEXT EXTRACTION USING MATLAB

Sukanta Kumar Tulo , N. Ravi Kumar , Sumit Kumar Singh , Jagmeet Singh

Text Extraction, Canny Edge Detection, Ocr, Segmenting , Mser Regions

This project extracts the text from image and recognizes the text written. Text Extraction and recognition in general have quite a lot of relevant application for automatic indexing or information retrieval such document indexing, content-based image retrieval and recognition which further opens up the possibility for more improved and advanced systems. This example shows how to detect regions containing text in an image. It is a common task performed on unstructured scenes, for example when capturing video from a moving vehicle for the purpose of alerting a driver about a road sign. Segmenting out the text from a cluttered scene greatly helps with additional tasks such as optical character recognition (OCR). The automated text detection algorithm in this example starts with the detection of MSER regions and a large number of text region candidates and progressively removes those less likely to contain text. To highlight this algorithm's flexibility, it is applied to images containing a road sign, a poster. The resulting multiple segmentation hypotheses are post-processed by a connected component analysis and a grayscale consistency constraint algorithm. Finally, they are processed by an OCR software. A selection algorithm based on language modeling and OCR statistics chooses the text result from all the produced text strings.

Published Paper   E-Certificate

"TEXT EXTRACTION USING MATLAB", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.35 - 39, May-2016, Available :https://ijsdr.org/papers/IJSDR1605007.pdf

Volume 1 Issue 5, May-2016

Pages : 35 - 39

Paper Reg. ID: IJSDR_160275

Published Paper Id: IJSDR1605007

Downloads: 000347058

Research Area: Engineering

Country: Unknown, Unknown, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605007

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605007

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