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Automated stroke ending analysis for drawing tool classification

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2 Author(s)
Maria C. Vill ; Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, 1040, Austria ; Robert Sablatnig

This paper proposes a drawing tool recognition method based on features calculated from the shape of stroke endings. The application for this method is to help art historians to identify the drawing tool used for a drawing. Since the style of a drawing depends on the drawing tool used, drawing tool recognition is an important step toward a style analysis. A dominant feature of a drawn stroke is its ending. Several features regarding curvature, proportions etc. are calculated out of the shape of the endings. These features are then used to classify stroke endings with a SVM classifier.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008