Text/Graphics Separation and Recognition in Raster-Scanned Color Cartographic Maps
Identifieur interne : 001479 ( Main/Exploration ); précédent : 001478; suivant : 001480Text/Graphics Separation and Recognition in Raster-Scanned Color Cartographic Maps
Auteurs : Aurelio Velázquez [Mexique] ; Serguei Levachkine [Mexique]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Cartographie.
English descriptors
- KwdEn :
Abstract
Abstract: A method to separate and recognize the touching/overlapping alphanumeric characters is proposed. The characters are processed in raster-scanned color cartographic maps. The map is segmented first to extract all text strings including those that are touching other symbols, strokes and characters. Second, OCR-based recognition with Artificial Neural Networks (ANN) is applied to define the coordinates, size and orientation of alphanumeric character strings in each case presented in the map. Third, four straight lines or a number of “curves” computed as a function of primarily recognized by ANN characters are extrapolated to separate those symbols that are attached. Finally, the separated characters input into ANN again to be finally identified. Results showed high method’s rendering in the context of raster-to-vector conversion of color cartographic images.
Url:
DOI: 10.1007/978-3-540-25977-0_6
Affiliations:
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Le document en format XML
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