A rotation invariant rule-based thinning algorithm for character recognition

被引：74

作者：

Ahmed, M ^{[1
]}

Ward, R

机构：

[1] Wilfrid Laurier Univ, Phys & Comp Dept, Waterloo, ON N2L 3C5, Canada

[2] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2002年 / 24卷 / 12期

关键词：

character recognition; thinning; skeletonization;

D O I：

10.1109/TPAMI.2002.1114862

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel rule-based system for thinning. The unique feature that distinguishes our thinning system is that it thins symbols to their central lines. This means that the shape of the symbol is preserved. It also means that the method is rotation invariant. The system has 20 rules in its inference engine. These rules are applied simultaneously to each pixel in the image. Therefore, the system has the advantages of symmetrical thinning and speed. The results show that the system is very efficient in preserving the topology of symbols and letters written in any language.

引用

页码：1672 / 1678

页数：7

共 20 条

[1] An expert system for general symbol recognition [J].