DocumentCode :
3322943
Title :
Rotation-invariant recognition of character strings for Korean cadastral map digitizing
Author :
Rhee, Phill K. ; Park, Jei S. ; Kang, Yeon G.
Author_Institution :
Dept. of Comput. Sci. & Eng., Inha Univ., Inchon, South Korea
Volume :
2
fYear :
1995
fDate :
14-16 Aug 1995
Firstpage :
944
Abstract :
This paper addresses a novel recognition technique for rotated character strings. Rotated character strings appear in character/graph mixed drawings such as cadastral maps, engineering drawings, etc. Recently, there are huge demands for systems of automatic map recognition. One of the most critical obstacles for such systems, however is the recognition of rotated character strings. Rotated characters are represented by the relative chain code and recognized. The possible misinterpretation of a character string has been resolved by deriving vertical/horizontal vector of the character string from a recognized unambiguous character in the character string. The proposed technique discusses primarily numeral string recognition, but it can be readily extended to the strings of other character sets
Keywords :
cartography; character recognition; document image processing; Korean cadastral map digitizing; cadastral maps; character string; engineering drawings; map recognition; numeral string recognition; recognition of character strings; rotated character strings; Character recognition; Data analysis; Data mining; Engineering drawings; Feature extraction; Geographic Information Systems; Humans; Image recognition; Information systems; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
Type :
conf
DOI :
10.1109/ICDAR.1995.602057
Filename :
602057
Link To Document :
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