Showing papers by "Wen-Hsiang Tsai published in 1984"

Automatic Chinese seal identification

Abstract: A combination of image processing and matching techniques is proposed to solve the problem of seal identification. The techniques include thresholding, rotation, thinning, reexpansion, and finally matching of seal images. The principle for identification is based on the fact that the spatial distributions of the stroke skeletons of the characters engraved by human hands on two distinct seals will never be totally identical in appearance. An appropriate similarity measure for matching stroke skeletons of characters is proposed. A high identification rate of sample seal imprints reveals that the proposed approach is effective.

A vision system with automatic learning capability for industrial parts inspection

Abstract: A vision system for automated parts inspection is proposed. The system is equipped with learning capabilities such that it automatically selects from a set of sample parts a minimum, but effective inspection region within the camera's field of view for parts discrimination. A binary template is formed within the inspection region which is then used for parts inspection by template matching. The inspection speed is enhanced by keeping the inspection region small and by making the matching task uncomplicated. A simple learning algorithm based on statistical pattern recognition theory is employed, which only requires the system to be taught by a training set of good and defective parts without specific defect identification or location. The system is applicable to most 2-D industrial parts inspection.