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Trademark identification through text recognition

Sulong, Ghazali and Ibrahim, Zaidah (1997) Trademark identification through text recognition. Jurnal Teknologi Maklumat, 9 (1). pp. 17-26. ISSN 0128-3790

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Abstract

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.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:32733
Deposited By: Fazli Masari
Deposited On:20 Jun 2013 00:53
Last Modified:01 Nov 2017 04:17

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