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We approach the shape recognition domain in this paper. After an introduction in the image shape analysis domain, we describe a shape feature extraction technique using moment-based measures which are invariant to geometric transforms. Then, an automatic unsupervised feature vector classification approach is proposed. It is based on a sequence of hierarchical agglomerative region-growing clustering algorithms and a measure based on cluster validation indexes. The results of this provided recognition technique can be applied successfully in important domains, such as object recognition, shape-based image content indexing and retrieval.