Loke, R. E.Bayer, M. M.Mann, D. G.du Buf, J. M. H.2015-11-042015-11-0420020-7803-7534-30197-7385AUT: DUB00865;http://hdl.handle.net/10400.1/6961In this paper we describe a new contour feature set. A contour is segmented into convex, concave and straight segments, after which length and curvature features are computed. A symmetry analysis allows the detection of the number of elementary segments. Results on two contour test sets were obtained: Using only four features, a simple nearest-mean classifier yielded a perfect identification (ID) rate of 100% on a small set consisting of shapes with minute differences, which are difficult to identify even for human experts. Using 10 features, it yielded 83.5% on a large set with very diverse shapes.engconference objecthttps://dx.doi.org/ 10.1109/OCEANS.2002.1192012