A novel approach for detecting and recognizing mathematical symbols
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
Autori principali: | , |
---|---|
Altri autori: | |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
BRAC University
2017
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/7620 |
id |
10361-7620 |
---|---|
record_format |
dspace |
spelling |
10361-76202022-01-26T10:13:17Z A novel approach for detecting and recognizing mathematical symbols Jahan, Nusrat Nafiz, Mirza Abdullah Al Biswas, Rubel Department of Computer Science and Engineering, BRAC University Mathematical symbols Segmentation Mathematical characters This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 34-36). Extraction and recognition of mathematical characters and equations for documented images is important for many applications, artificially intelligent systems in particular to store or analyze mathematical data. It is vital that efficient and robust approaches are utilized in this sector. Recognition methodologies that are widely used at present work very well for nonmathematical data, but for mathematical data, the results are somewhat unsatisfying. Moreover, precision is important while extracting mathematical texts. In our thesis we have studied a number of text detection algorithms and used image segmentation methodologies, template matching, SVM (Support Vector Machine) to detect and recognize mathematical symbols from a document image. Nusrat Jahan Mirza Abdullah Al Nafiz B. Computer Science and Engineering 2017-01-19T05:06:15Z 2017-01-19T05:06:15Z 2016 2016 Thesis ID 12201001 ID 13101230 http://hdl.handle.net/10361/7620 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 36 pages application/pdf BRAC University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Mathematical symbols Segmentation Mathematical characters |
spellingShingle |
Mathematical symbols Segmentation Mathematical characters Jahan, Nusrat Nafiz, Mirza Abdullah Al A novel approach for detecting and recognizing mathematical symbols |
description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
author2 |
Biswas, Rubel |
author_facet |
Biswas, Rubel Jahan, Nusrat Nafiz, Mirza Abdullah Al |
format |
Thesis |
author |
Jahan, Nusrat Nafiz, Mirza Abdullah Al |
author_sort |
Jahan, Nusrat |
title |
A novel approach for detecting and recognizing mathematical symbols |
title_short |
A novel approach for detecting and recognizing mathematical symbols |
title_full |
A novel approach for detecting and recognizing mathematical symbols |
title_fullStr |
A novel approach for detecting and recognizing mathematical symbols |
title_full_unstemmed |
A novel approach for detecting and recognizing mathematical symbols |
title_sort |
novel approach for detecting and recognizing mathematical symbols |
publisher |
BRAC University |
publishDate |
2017 |
url |
http://hdl.handle.net/10361/7620 |
work_keys_str_mv |
AT jahannusrat anovelapproachfordetectingandrecognizingmathematicalsymbols AT nafizmirzaabdullahal anovelapproachfordetectingandrecognizingmathematicalsymbols AT jahannusrat novelapproachfordetectingandrecognizingmathematicalsymbols AT nafizmirzaabdullahal novelapproachfordetectingandrecognizingmathematicalsymbols |
_version_ |
1814308196902240256 |