Handwritten Character Recognition Based on Structural Characteristics
نویسندگان
چکیده
In this paper a handwritten character recognition algorithm based on structural characteristics, histograms and profiles, is presented. The wellknown horizontal and vertical histograms are used, in combination with the newly introduced radial histogram, outin radial and inout radial profiles for representing 32x32 matrices of characters, as 280dimension vectors. The Kmeans algorithm is used for the classification of these vectors. Detailed experiments performed in NIST and GRUHD databases gave promising accuracy results that vary from 72.8% to 98.8% depending on the difficulty of the database and the character category.
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