Computer recognition of hand-written characters using the distance transform
- 1 January 1992
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 28 (19), 1825-1827
- https://doi.org/10.1049/el:19921164
Abstract
A new statistical classifier for hand-written character recognition is presented. The system features a preprocessing phase for image normalisation and a distance transform applied to the normalised image, which converts a B/W picture into a grey scale image. A k-nearest-neighbour classifier follows, based on the distance transform and a suitable metric. The system has an accuracy of 98.96% when applied to the US Post Office zip code database, at 0.98% error rate.Keywords
This publication has 1 reference indexed in Scilit:
- INTRODUCTIONPublished by Elsevier BV ,1990