Affiliations: [1] DIMES, University of Calabria, Via Pietro Bucci 44, 87036 Rende (CS), Italy | [2] Technical Faculty in Bor, University of Belgrade, V.J. 12, 19210 Bor, Serbia | [3] Mathematical Institute of the Serbian Academy of Sciences and Arts, Kneza Mihaila 36, 11000 Belgrade, Serbia. E-mails: [email protected], [email protected], [email protected]
Correspondence:
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Corresponding author.
Abstract: This paper introduces a new similarity measure derived from the Common Submatrix-based measures for comparing square matrices. The novelty is that the similarity between two matrices is computed as the average area of the largest sub-matrices exactly matching and being located at the same position in the two matrices. By contrast, in the original similarity measures, the largest sub-matrices can exactly or approximately match and be located at different positions. An experiment conducted on a subset of the MNIST and NIST datasets shows that the new similarity measure is very promising in retrieving relevant handwritten character images.
