Shape Recognition Based on Freeman Chain Code
In this paper, a shape recognition method based on Freeman chain code has been proposed. According to the detected corners, feature vector of a contour shape can be obtained. And the descriptor of each corner in the feature vector has three components, which are the normalized distance between the corner and the centroid of all the corners, the local main trend of both sides of the corners. By using the feature vector, the matching judgment has been given, and the results of the experiment are shown.
J. Li et al., "Shape Recognition Based on Freeman Chain Code", Advanced Materials Research, Vols. 317-319, pp. 2490-2496, 2011