Logo matching and recognition: A concise review

Logo is used for identity purpose and logo matching is one of the challenge in the recent era in a various applications to meet customers expectations for a product or to discover improper use of logo. Most of the author contributed in this domain, traditionally edge detector and shape detectors are used for this purpose. But still there are some difficulties in logo matching like different images contains logo with different shapes and size, location of logo is not fixed in each image and occlusion problem etc. For these types of logo, traditional methods become fail. To overcome the problem associated with traditional method in this paper literature survey of previous and recent work is presented, in which different descriptors i.e SURF, SIFT, HOG, methods and hybrid version of descriptor i.e ORB used for logo matching. This paper presents a concise review on logo matching and recognition and expected to be useful for researchers who working both on logo matching and object recognition, providing a most comprehensive and accessible information of this important field of research.