DocumentCode
311105
Title
Characters string recognition on maps, a method for high level reconstruction
Author
Pierrot-Deseilligny, Marc ; Le Men, Hervé ; Stamon, Georges
Author_Institution
IGN/DT/MATIS, France
Volume
1
fYear
1995
fDate
14-16 Aug 1995
Firstpage
249
Abstract
We present a complete method for character string extraction that is specifically adapted to a cartographic context (orientation,…). We emphasize a high level reconstruction process that: (1) resolves the ambiguities remaining from pattern analysis; (2) structures the characters into strings. The knowledge used by this process is the coherence of strings to be constructed (e.g. in orientation, scale, fonts…). We formalize the problem in the most general way and then admit two simplifying hypotheses that transform the problem into a graph optimization problem. The method implemented for solving this problem uses different techniques such as: graph theory, dynamic programming, heuristic, combinatorial exploration…. The results seem sufficiently good for an industrial application
Keywords
cartography; character recognition; dynamic programming; feature extraction; graph theory; image reconstruction; knowledge based systems; string matching; cartographic context; character string extraction; combinatorial exploration; dynamic programming; graph optimization problem; graph theory; heuristics; high level reconstruction process; industrial application; maps; pattern analysis; simplifying hypotheses; string coherence; string recognition; Character recognition; Data mining; Dynamic programming; Geographic Information Systems; Graph theory; Histograms; Humans; Optical character recognition software; Pattern analysis; Shape;
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.1995.598987
Filename
598987
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