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
Sukanta Kumar Tulo
, N. Ravi Kumar , Sumit Kumar Singh , Jagmeet Singh
Unique Id:
IJSDR1605007
Published In:
Volume 1 Issue 5, May-2016
Abstract:
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.
Keywords:
Text Extraction, Canny Edge Detection, Ocr, Segmenting , Mser Regions
Cite Article:
"TEXT EXTRACTION USING MATLAB", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.35 - 39, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605007.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR1605007
Registration ID:160275
Published In: Volume 1 Issue 5, May-2016
DOI (Digital Object Identifier):
Page No: 35 - 39
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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