Logo Matching And Recognition System Using Surf
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 9
Abstract
Matching is an important part of a model based object recognition system. Matching is a difficult task because images do not present perfect data, noise and occlusions greatly complicate the task. Although no existing visual system can solve the general recognition problem, some existing approaches have obtained acceptable results. Much less work has been done on parallel matching, despite the great need for speeding up the process. Some matching algorithms have been implemented using SIFT algorithm which is suitable in computer vision application. Here implemented a logo matching and recognition system using SURF algorithm. Using SURF descriptors extract the interest points from reference logo and test image. Then implement a model free context similarity function to find the similarity measure. Using the similarity measure find the matching between reference logo and test image. The performance is evaluated and compare the results with SIFT descriptors. SURF algorithm is better than the SIFT algorithm and will give better matching.
Authors and Affiliations
Remya Ramachandran, Andrews Jose
Keywords
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