Summary: This paper presents a planar shape recognition method for content-based image retrieval in multimedia databases. Shapes are characterised by their corners, which are extracted from the curvature function of their contours. Then, corner sequences are compared by using hidden Markov models so that the process is resistant against corner shifting and loss. The proposed method has been successfully tested over publicly available databases.