In the final three articles in my series looking at algorithms for measuring the similarity of marks, I extend the ideas to provide a more sophisticated and adaptable framework. Article 4 introduces a similarity score based on color distance in RGB space, offering a quantitative approach to trademark similarity. Article 5 refines word mark similarity by using the International Phonetic Alphabet to improve phonetic analysis. The final article presents a method for sorting colors by dominant shade, aiding in trademark review and potential guidelines for color mark protection.
Further Ideas in Mark Similarity Measurement
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