Recognizing Planar Curve Based on NRLCTI and Match Sub-curve
基于NRLCTI码和匹配子曲线的平面曲线识别

In this paper, the definition of NRLCTI (normalized run length code of conner and tangent and inflexion points) of a planar curve is given firstly. Then a new algorithm is designed to match sub-curves. Last, a novel approach is presented to recognize curves from a line drawing or an image. The proposed method has two merits. One is that the method matches feature points both on an object and models preliminarily based on NRLCTI, which can cope with the low efficiency and high cost problem for reaching feature points corresponding. The other is that the method partitions the curve into many sub-curves based on the landmarks, then matches and recognizes them. The low accuracy for curve approximated by polygon or conics curve can be overcome. Computer simulations demonstrate the effectiveness of the algorithm preliminarily.