Abstract.
Several algorithms have been proposed in the past to solve the problem of binary pattern recognition. The problem of finding features that clearly distinguish two or more different patterns is a key issue in the design of such algorithms. In this paper, a graph-like recognition process is proposed that combines a number of different classifiers to simplify the type of features and classifiers used in each classification step. The graph-like classification method is applied to ancient music optical recogniti on, and a high degree of accuracy has been achieved.
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Received: 27 December 2002, Accepted: 10 January 2003, Published online: 4 July 2003
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Pinto, J.C., Vieira, P. & Sousa, J.M. A new graph-like classification method applied to ancient handwritten musical symbols. IJDAR 6, 10–22 (2003). https://doi.org/10.1007/s10032-003-0102-3
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DOI: https://doi.org/10.1007/s10032-003-0102-3