A system for extracting and recognizing numeral strings on maps

Author

Chen, Liang-Hua ; Wang, Jiing-Yuh

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Fu Jen Univ., Taipei, Taiwan

Volume

1

fYear

1997

fDate

18-20 Aug 1997

Firstpage

337

Abstract

The paper presents a complete procedure for the extraction and recognition of handprinted numeral strings on maps. The character extraction algorithm can even segment slant and touching characters into individual components. The feature based recognition algorithm can recognize numeral characters of any size, position, and orientation. Our features for discrimination are simple and easily detectable. Experimental results on utility and cadastral maps have shown that the proposed technique is effective in the automatic data capture of geographic information systems

Keywords

cartography; feature extraction; geographic information systems; handwriting recognition; string matching; automatic data capture; cadastral maps; character extraction algorithm; feature based recognition algorithm; geographic information systems; handprinted numeral strings; numeral characters; numeral string recognition; touching characters; Character recognition; Computer science; Data mining; Degradation; Filtering; Graphics; Humans; Robustness; Testing; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.619867

Filename

619867