earticle

영어

In ubiquitous computing environments, many applications are devised to provide autonomous services. To make services autonomous, each service has to inevitably recognize the deployed devices or objects in ubiquitous computing environments. In order to provide an autonomous service based on vision system, we address an efficient character segmentation algorithm by means of introducing the locally adaptive binarization and the object labeling by Connected Components Analysis (CCA). The proposed binarization technique carries out the grayscale-to-binary image conversion with block-based processing to reflect the local variation of images. The object labeling by CCA algorithm is applied to the binarized image with the morphological operation in order to improve the object connectivity. Experimental results show that the proposed algorithm can segment each object reasonably even with atypical or erratic form. Therefore, the proposed algorithm can be useful for development of various applications in ubiquitous computing environments.