Text extraction based on clustering colors at sensible points and clustering text-lines for text-selection
Wang Yao-nan · Journal of Computer Applications · 2010
Since the existing text extraction methods can not adapt to the variation of complex background and shape,a new method was brought forward.It was founded on two-level color clustering of sensible points and text-line clustering.Because human vision perception is more sensitive to great change of colors,the new method only selected the main colors at sensible points to cluster.The strategy could solve the problems of the existing methods based on threshold and clustering which were greatly influenced by the variation in colors of complex background.And then,the text-lines were selected according to the fact that texts always align with each other in a same text-line.That course can eliminate the influence of variation in shape and size of characters.Experimental results indicate that,the new method has good adaptability to complex change of background,and texts with different size and shape.