A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval

TL;DR

This paper introduces a hybrid trademark image retrieval system combining corner and invariant moment features, achieving 85% efficiency in identifying authentic trademarks within a CBIR framework.

Contribution

It presents a novel hybrid feature-based approach for trademark image retrieval, integrating corner and invariant moment features for improved accuracy.

Findings

Achieved 85% retrieval efficiency

Hybrid features improve retrieval accuracy

Effective for fake and copied trademarks

Abstract

Trademark Image Retrieval is playing a vital role as a part of CBIR System. Trademark is of great significance because it carries the status value of any company. To retrieve such a fake or copied trademark we design a retrieval system which is based on hybrid techniques. It contains a mixture of two different feature vector which combined together to give a suitable retrieval system. In the proposed system we extract the corner feature which is applied on an edge pixel image. This feature is used to extract the relevant image and to more purify the result we apply other feature which is the invariant moment feature. From the experimental result we conclude that the system is 85 percent efficient.