Categorization of camera captured documents based on logo identification
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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The scientific significance of automatic logo detection and recognition is more and more growing because of the increasing requirements of intelligent document image analysis and retrieval. In this paper, we introduce a system architecture which is aiming at segmentation-free and layout-independent logo detection and recognition. Along with the unique logo feature design, a novel way to ensure the geometrical relationships among the features, and different optimizations in the recognition process, this system can achieve improvements concerning both the recognition performance and the running time. The experimental results on several sets of real-word documents demonstrate the effectiveness of our approach.