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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
1997
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/32733/1/GhazalaiSulong1997_TrademarkIndificationThroughRecognition.pdf http://eprints.utm.my/id/eprint/32733/ |
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| Summary: | 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. |
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