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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 |
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| Paper Title: | TEXT EXTRACTION USING MATLAB |
| Authors Name: | 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: | 000337068 |
| 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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