Products and services available in the market in the form of brands that make trade practices are very important. Nowadays in the market, brand name is becoming very important. Every organization must have it's unique trademark or logo for uniqueness. Therefore designing an efficient trademark retrieval system and its evaluation for distinctiveness is thus becoming a very tedious job nowadays. Trademark Image Registration is one of the important application area of Content Based Image Retrieval (CBIR). Trademark image registration, where a new candidate mark is compared with the existing marks to ensure that there is no risk of confusion, has long been recognized as a prime application area of CBIR [1]. In the proposed work, a CBIR system is designed for trademark image retrieval based on 3D color histogram (HSV values) technique. The color histogram has the advantages of rotation and translation invariance and it has the disadvantages of lack of spatial information. The experiments were conducted on a database of few trademark images. The performance of the system was evaluated using standard evaluation parameters precision and recall.