Abstract
A new paradigm for the comparison of size functions is presented; it stresses the relevance of the “angular points” of the functions, and gives greater value to the stable ones. A simple example of classification of monograms (88 elements in the training set, 88 in the test set, for 22 classes, with a hit rate of 78%) is given, and a current enhancement of the experiment is described.
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Ferri, M., Frosini, P., Lovato, A., Zambelli, C. (1997). Point selection: A new comparison scheme for size functions (With an application to monogram recognition). In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_138
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DOI: https://doi.org/10.1007/3-540-63930-6_138
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