Image processing for primitive image features recognition in the case of discontinuous line images of printed characters

摘要

An efficient algorithm for analysing and recognizing line images has been formulated. It works well when applied to ‘continuous’ line images (a continuous line is defined here as a monodimensional list of quanta or ‘blobs’ partially covering each other). If the lines, which represent special types of images like characters, are broken up by some spurious effect during image acquisition, the detecting operators of invariant features cannot be used. In this paper a method for filling in the gaps between known pieces of images of characters obtained from a dot-matrix printer is presented so that the existing algorithm may be applied to these ‘restored’ continuous line images.