An important feature of the Minoan culture is the pottery of Kamares style, that documents the Cretan cultural production between the first half of the II millennium BC. This high level painted production characterized by the combination of several diverse motifs, presents an enormous decorative repertoire. The extraordinary variety of combinations between elementary motifs according to a complex visual syntax makes interesting the automatic identification of the motifs, particularly upon pot sherds. A complete pipeline to accomplish this task is still a challenge to Computer Vision and Pattern Recognition. Starting from a digital image ROI identification, motif extraction, robust contour detection should be performed to obtain a bag of digital shapes. In a second phase each of the extracted shapes has to be classified according to prototypes in a database produced by an expert. The cooccurrence of the different shapes in a clay fragment will in turn be used to help the archaeologist in datation. In this preliminary report we address only one step of such pipeline relative to the shape matching phase.