Trademark is an important symbol of goods, represents the quality of the goods and the manufacturer's reputation. So, automatic recognition of trademark has a wide range of application prospects. In target recognition algorithm, the most critical is to extract the target feature. Because of the moment feature has better invariant characteristics, it is widely used. In this paper we use Hu modified invariant moment and the minimum distance classifier for trademark recognition, the experimental results show that the modified invariant moment has higher recognition rate than the original Hu moments and is conducive to trademark recognition. [ABSTRACT FROM AUTHOR]
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