caa a22 4500 467884234 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s10032-005-0010-9 doi (NATIONALLICENCE)springer-10.1007/s10032-005-0010-9 Extraction and recognition of geographical features from paper maps [Elektronische Daten] [Deeptendu Dhar, Bhabatosh Chanda] With the emergence of Geographical Information Systems (GIS), map acquisition and recognition have become hotly pursued topics, both by the industry and the academia. The paper presents a novel methodology for the extraction and recognition of symbol features from topographic maps. The method proceeds by separating the map into its constituent layers and then attempting to recognize the features in different layers on the basis of symbol-specific geometrical and morphological attributes. Text strings have also been separated. The output is obtained in the form of an ‘e-map' that is vectorized and hence is suitable for GIS. To demonstrate the usefulness of the proposed system a simple database along with a query processing facility is constructed integrating the information obtained from the e-map and ‘some' user inputs. The methodology has been observed to perform quite satisfactorily. Springer-Verlag, 2005 Cartography nationallicence GIS nationallicence Feature nationallicence Layer separation nationallicence Map recognition nationallicence E-map nationallicence Dhar Deeptendu Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India aut Chanda Bhabatosh Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/4(2006-09-01), 232-245 1433-2833 8:4<232 2006 8 10032 https://doi.org/10.1007/s10032-005-0010-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-005-0010-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dhar Deeptendu Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India aut NATIONALLICENCE 700 1- Chanda Bhabatosh Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/4(2006-09-01), 232-245 1433-2833 8:4<232 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer