Trademark Image Recognition Using Statistical and Shape Features
碩士 === 國立交通大學 === 資訊科學學系 === 82 === The goal of trademark examination is to reject infringement cases when trademarks are registered for patents. In order to simplify and speed up the trademark examination process, the development of a trad...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
1994
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| Online Access: | http://ndltd.ncl.edu.tw/handle/79595325120652398619 |
| Summary: | 碩士 === 國立交通大學 === 資訊科學學系 === 82 === The goal of trademark examination is to reject infringement
cases when trademarks are registered for patents. In order to
simplify and speed up the trademark examination process, the
development of a trademark image recognition system is desired.
A new approach to trademark image recognition is proposed. The
basic idea is to extract features from the input trademark
image, and to search similar trademarks in a feature database.
The proposed system provides friendly interactive interfacing
to perform the preprocessing and the feature extraction works.
Appropriate shape features of the trademark images are utilized
to perform preclassification. Detailed matching is performed
next according to the combination of the statistical and shape
features. Trademark graphics are of very great variety. Due to
the subjective judgment on trademark examination and the
difficulty of this task, only semi-automatic processing is
implemented in this study. Several experimental results show
the feasibility and practicability of the proposed approach.
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