Blurred Shape Model for binary and grey-level symbol recognition
Pattern Recognition Letters
Amplitude-only log Radon transform for geometric invariant shape descriptor
Pattern Recognition
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Shape descriptors play an important role in many doc- ument analysis application. In this paper we review some of the shape descriptors proposed in the last years from a new point of view. We propose the definitions of descriptor and primitive and introduce the notion of feature extraction method. With these definitions, we propose a new classifica- tion of shape descriptors that permits to classify according to their properties pointing out their strengths and weak- nesses.