Title :
Intelligent Classification of Sketch Strokes
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge
Abstract :
This paper presents an intelligent method for classifying pen strokes in an on-line sketching system. The method, based on adaptive threshold and fuzzy knowledge with respect to curve´s linearity and convexity, can identify sketch strokes (curves) into lines, circles, arcs, ellipses, elliptical arcs, loop lines, spring lines and free-form B-spline curves. The proposed method has proven to be fast, suitable for real-time classification and identification
Keywords :
computational geometry; curve fitting; fuzzy set theory; pattern classification; splines (mathematics); curve classification; curve fitting; fuzzy knowledge; intelligent classification; online sketching system; pen strokes; sketch recognition; sketch strokes; Curve fitting; Design automation; Fuzzy logic; Geometry; Linearity; Pattern recognition; Product design; Solid modeling; Spline; Springs; Fuzzy knowledge; curve classification; curve fitting; sketch recognition;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630216