Logo Location in Low-Quality Document Image

A scheme based on pyramid model is proposed for object location in bi-value images,which is an effective method for such applications as distances among object’s composite connected-components,shorter than the distances to others. At first the pyramid model of image is created. Being adjacent to each other,those connected-components belonging to an identical logo will cluster into a single one in certain hierarchy. Then particular regions are determined based on the indication of every connected-component in pyramid hierarchy. Finally template matching is employed to determine if the region includes some objects. This scheme is used to locate logo in low-quality document image. The performance is evaluated by a logo corpus involving 300 logos,the recall of 88.7% and precision of 70.42% are obtained respectively.