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A visual cryptography based watermarking scheme incorporating the concepts of singular value decomposition (SVD) and the homogeneity analysis of the cover image is proposed here. Firstly, feature vectors are created from the singular values of the homogeneous blocks and thereby classified using the k-medoid clustering technique. A master share is then constructed based on the clustering result and thereafter, combined with the secret binary image (watermark) ownership share is build up. Thisdoi:10.5120/13950-1115 fatcat:4czoqocc5newrplv5uxarbli6a