IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

“Semantic Trademark Retrieval System Based on Conceptual Similarity of Text with Leveraging Histogram Computation for Images to Reduce Trademark Infringement”

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Mr. Pramod Dhamdhere,Dr. Dr.Rajeev Vishwakarma

Abstract

A trademark distinguishes your business's goods or services from others'. Symbols, logos, titles, etc. can be trademarks, so they must be protected. This research deciphers trademark hypotheses when two or more have the same semantic implant. State-of-the-art semantic algorithm to similitude trademarks in hypothetic parallelism. Search and indexing established similarity distance utilizing data similarity. The proposed reflow technique is confirmed using a trademark database and a corporate names database. The conceptual comparison of written works that share a comparable domain, use similar concepts, or communicate similar ideas has been explored extensively. Existing trademark search engines are generally text-based. Measure the algorithm's accuracy in different domains.

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