University of Bologna
Dipartimento di Elettronica,
Informatica e Sistemistica
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Searched for "el:Kov92"
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Computer Recognition of Hand-Written Characters using the Distance Transform
Zs. M. Kovacs and R. GuerrieriAbstract:
A new statistical classifier for hand-written character recognition is presented. The system features a preprocessing phase for image normalization and a distance transform applied to the normalized image, which converts a B/W picture into a gray scale one. A k-Nearest-Neighbor classifier follows, based on the distance transform and a suitable metric. The system has an accuracy of 98.96% when applied to the U.S. Post Office ZIP code database, at 0.98% error rate
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