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Trademark identification through text recognition

Trademark identification is of great interest in the document domain due to two reasons. Given a document that consists of a trademark, the trademark needs to be conclude whether present or not in the database and given a known trademark, we need to index into a database of documents and extract all...

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Main Authors: Sulong, Ghazali, Ibrahim, Zaidah
Format: Article
Language:English
Published: Penerbit UTM Press 1997
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/32733/1/GhazalaiSulong1997_TrademarkIndificationThroughRecognition.pdf
http://eprints.utm.my/id/eprint/32733/
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id my.utm.32733
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spelling my.utm.327332017-11-01T04:17:54Z http://eprints.utm.my/id/eprint/32733/ Trademark identification through text recognition Sulong, Ghazali Ibrahim, Zaidah QA75 Electronic computers. Computer science QA76 Computer software Trademark identification is of great interest in the document domain due to two reasons. Given a document that consists of a trademark, the trademark needs to be conclude whether present or not in the database and given a known trademark, we need to index into a database of documents and extract all information related to it. This paper proposes a new method to recognise the text on mixed-mode trademarks that consists of various font style and sizes, focusing on uppercase Roman alphabets. A stroke-based feature extraction method represented by chain codes is used. A modified rule-based classifier recognises the characters with satisfactory results. Penerbit UTM Press 1997-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/32733/1/GhazalaiSulong1997_TrademarkIndificationThroughRecognition.pdf Sulong, Ghazali and Ibrahim, Zaidah (1997) Trademark identification through text recognition. Jurnal Teknologi Maklumat, 9 (1). pp. 17-26. ISSN 0128-3790
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Sulong, Ghazali
Ibrahim, Zaidah
Trademark identification through text recognition
description Trademark identification is of great interest in the document domain due to two reasons. Given a document that consists of a trademark, the trademark needs to be conclude whether present or not in the database and given a known trademark, we need to index into a database of documents and extract all information related to it. This paper proposes a new method to recognise the text on mixed-mode trademarks that consists of various font style and sizes, focusing on uppercase Roman alphabets. A stroke-based feature extraction method represented by chain codes is used. A modified rule-based classifier recognises the characters with satisfactory results.
format Article
author Sulong, Ghazali
Ibrahim, Zaidah
author_facet Sulong, Ghazali
Ibrahim, Zaidah
author_sort Sulong, Ghazali
title Trademark identification through text recognition
title_short Trademark identification through text recognition
title_full Trademark identification through text recognition
title_fullStr Trademark identification through text recognition
title_full_unstemmed Trademark identification through text recognition
title_sort trademark identification through text recognition
publisher Penerbit UTM Press
publishDate 1997
url http://eprints.utm.my/id/eprint/32733/1/GhazalaiSulong1997_TrademarkIndificationThroughRecognition.pdf
http://eprints.utm.my/id/eprint/32733/
_version_ 1643649124942217216
score 13.211869

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