This paper presents a new approach for zoning design. The approach is based on a techinque which detects the most discriminant image regions by the analysis of feature distributions, and obtains the zoning by an iterative zone-growing process. An application to handwritten numeral recognition is also reported showing the effectiveness of the proposed approach.
CITATION STYLE
Dimauro, G., Impedovo, S., Pirlo, G., & Salzo, A. (1997). Zoning design for handwritten numeral recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 592–599). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_172
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