Abstract
In the context of document security systems, there is a growing need for a stable segmentation method. State-of-the-art document image segmentation methods are not stable as they use several parameters and thresholds such as binarization. Hence, this paper presents a new method for segmentation based on a new definition of connected color components and a new model of human vision. Our algorithm produces results that are three to four times more stable than state-of-the-art superpixel segmentation methods while maintaining a similar segmentation accuracy.