Title :
A legend-driven geographic symbol recognition system
Author :
Samet, Hanan ; Soffer, Aya
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Abstract :
A system is presented that utilizes the symbolic knowledge found in the legend of the map to drive geographic symbol recognition. The geographic symbol layer(s) of the map are first scanned. The legend of the map is located and segmented. The geographic symbols are identified and their semantic meaning is attached to them. The geographical symbols in input maps are classified using statistical pattern recognition. An experimental study was conducted on a large amount of data with recognition rates of over 95%
Keywords :
geographic information systems; feature extraction; legend-driven geographic symbol recognition system; map legend; segmentation; semantic meaning; statistical pattern recognition; Automation; Cities and towns; Computer science; Data mining; Educational institutions; Geographic Information Systems; Hospitals; Pattern recognition; Pixel; Tiles;
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
DOI :
10.1109/ICPR.1994.576934
