COMPUTER RECOGNITION OF HAND-WRITTEN CHARACTERS USING THE DISTANCE TRANSFORM

被引：7

作者：

KOVACS, ZM

GUERRIERI, R

机构：

[1] Dipartimento di Elettronica, Informatica e Sistemistica, University of Bologna, 40136 Bologna

来源：

ELECTRONICS LETTERS | 1992年 / 28卷 / 19期

关键词：

IMAGE PROCESSING; TRANSFORMS;

D O I：

10.1049/el:19921164

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1825 / 1827

页数：3