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
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;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.598987