Rotation-invariant Silhouettes Recognition in the presence of occlusion

The approach developed in this paper is about objects recognition. The method consists to recognize objects that are partially occulted. A modified alignment approach is also considered to make our approach invariant to rotation. The proposed technique consists to create first, an index containing codes associated to each image of the database. The index is created using two techniques; the Quad-tree technique and also a technique using the curvature information of the object. The curvature information is based on an alignment method. Our System deals with the occlusion. It is, also, robust to the rotation of the objects.