关键词: 形状描述, 特征提取, 形状识别, 多尺度

Abstract: Shape recognition is an important research content in the field of computer vision and pattern recognition. Shape feature selection and description is a hot topic in shape recognition. In view of the shortcomings of the existing recognition methods, a method of feature extraction is proposed by describing different length contour segments, in which the feature parameters from six contour segments of the shape are achieved with five parameters for each contour segment. In the shape recognition stage, the Dynamic Time Warping（DTW） algorithm is used to measure the matching distance between shape descriptors to perform shape recognition. The method is verified in the Kimia99, Kimia216 and MPEG-7 databases. The results show that the shape feature descriptors based on multi-scale contour segments have invariance of rotation, scaling, translation and local occlusion, and the recognition rate is better than the existing methods.

Key words: shape description, feature extraction, shape recognition, multi-scale