Segmentation of handwritten Chinese characters is an important task for preprocessing of Chinese character recognition. A new algorithm for handwritten Chinese character segmentation based on extracting and knowledge－based merging of stroke bounding boxes is proposed in this paper. The knowledge－based merging operations are used to merge stroke bounding boxes according to the structure feature of Chinese characters. The experiment shows the new algorithm is very effective for off－line handwritten Chinese character segmentation.