A system for efficient and robust map symbol recognition

Author

Reiher, Eric ; Li, Ying ; Donne, Vince Delle ; Lalonde, Marc ; Hayne, Cameron ; Zhu, Chong

Author_Institution

Centre de Recherche Inf., Montreal, Que., Canada

Volume

3

fYear

1996

fDate

25-29 Aug 1996

Firstpage

783

Abstract

We present a system that allows the user to input maps into a geographic information system (GIS) by using automatic symbol and line recognition. The system is composed of a user interface, a symbol recognition engine, a knowledge base and a database. The recognition is based on the Hausdorff distance and neural networks, where our main contribution is to make the recognition efficient and robust for handling very large maps and many symbols of different scales and orientations. The system allows for efficient and coherent management of maps, recognition processes and recognition results

Keywords

cartography; feedforward neural nets; geographic information systems; image recognition; knowledge based systems; visual databases; Hausdorff distance; geographic information system; knowledge based system; line recognition; map symbol recognition; multilayer neural networks; orientations; scales; symbol recognition; visual database; Data mining; Databases; Educational institutions; Engines; Geographic Information Systems; Graphics; Neural networks; Pixel; Production; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.547275

Filename

547275