Bibtex entry:

@article{el:Kov92,
   keywords = {ocr, pattern recognition, nearest neighbors, algorithms},
   author = {Zs. M. Kovacs and R. Guerrieri},
   title="Computer Recognition of Hand-Written Characters using the Distance
          Transform",
   key={el:Kov92},
   journal={IEE Electronics Letters},
   volume = {28},
   number = {19},
   pages = {1825--1827},
   month = {Sep},
   year = {1992},
   abstract={
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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