TRADEMARK IMAGE RETRIEVAL USING LOW LEVEL FEATURE EXTRACTION IN CBIR

Trademarks work as significant responsibility in industry and commerce. Trademarks are important component of its industrial property, and violation can have severe penalty. Therefore designing an efficient trademark retrieval system and its assessment for uniqueness is thus becoming very important task now a days. Trademark image retrieval system where a new candidate trademark is compared with already registered trademarks to check that there is no possibility of resemblance, has been identified as a major application area of Content Based Image Retrieval (CBIR). This paper proposes an automated system for rotation, translation and scale invariant color trademark recognition. Low level feature extraction techniques used in CBIR are proposed for trademark image retrieval. The performance of the trademark image retrieval system is evaluated using precision and recall