Title :
Fast Logo Detection and Recognition in Document Images
Author :
Li, Zhe ; Schulte-Austum, Matthias ; Neschen, Martin
Author_Institution :
Ind. Sector, Mobility Div., Siemens AG, Konstanz, Germany
Abstract :
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.
Keywords :
geometry; image recognition; image retrieval; shape recognition; automatic logo detection; automatic logo recognition; geometrical relationships; intelligent document image analysis; intelligent document image retrieval; logo feature design; recognition process; system architecture; Databases; Feature extraction; Image recognition; Prototypes; Shape; Text analysis; document retrieval; image processing; logo detection; logo recognition;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.665