ABSTRACT
Logo recognition is of great interest in the document and shape matching domain. Logos can act as a valuable means to identifying sources of documents. However, logos are 2D shapes of varying complexity, with interior and exterior contours that are not necessary connected. Hence the recognition process seems to be difficult because of its complexity. Researchers have investigated the problem of logo recognition [46, 189, 91, 234, 213, 36, 143]. Although some very effective results have been found for clean logos, they can hardly be robust with corrupted logos, such as strips obstructing the logo in unpredictable positions. Other research on logo recognition by neural networks [26, 25, 73] can deal with noisy logos; however, it requires a lot of training before it can be used.
