Logo recognition has gained much development in the document retrieval and shape analysis domain. As human computer
interaction becomes more and more popular, the logo recognition through a web-camera is a promising technology in view
of application. But for practical application, the study of logo recognition in real scene is much more difficult than the work
in clear scene. To cope with the need, we make some improvements on conventional method. First, moment information is
used to calculate the test image's orientation angle, which is used to normalize the test image. Second, the main structure of
the test image, which is represented by lines patterns, is acquired and modified Hausdorff distance is employed to match the
image and each of the existing templates. The proposed method, which is invariant to scale and rotation, gives good result
and can work at real-time. The main contribution of this paper is that some improvements are introduced into the exiting
recognition framework which performs much better than the original one. Besides, we have built a highly successful logo
recognition system using our improved method.
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