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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
1997
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| Subjects: | |
| Online Access: | http://eprints.utm.my/32733/1/GhazalaiSulong1997_TrademarkIndificationThroughRecognition.pdf |
| _version_ | 1796857051102576640 |
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| author | Sulong, Ghazali Ibrahim, Zaidah |
| author_facet | Sulong, Ghazali Ibrahim, Zaidah |
| author_sort | Sulong, Ghazali |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:52:00Z |
| format | Article |
| id | utm.eprints-32733 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:52:00Z |
| publishDate | 1997 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-327332017-11-01T04:17:54Z http://eprints.utm.my/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/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 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Sulong, Ghazali Ibrahim, Zaidah Trademark identification through text recognition |
| title | 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_short | Trademark identification through text recognition |
| title_sort | trademark identification through text recognition |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.utm.my/32733/1/GhazalaiSulong1997_TrademarkIndificationThroughRecognition.pdf |
| work_keys_str_mv | AT sulongghazali trademarkidentificationthroughtextrecognition AT ibrahimzaidah trademarkidentificationthroughtextrecognition |