Segmentation of stick text based on sub connected area analysis

A new stick text segmentation method based on sub connected area analysis is introduced in this paper. The foundation of this method is the sub connected area representation of a text image that can represent all connected areas in an image efficiently. This method consists mainly of four steps: sub connected area classification; finding the initial boundary following point; finding the optimal segmentation point by boundary tracing; and text segmentation. This method is similar to the boundary analysis method but is more efficient.