We describe RankFrag: a technique which uses machine learning to detect corner points in hand-drawn digital curves. RankFrag classifies the stroke points by iteratively extracting them from a list of corner candidates. The points extracted in the last iterations are said to have a higher rank and are more likely to be corners. The technique has been tested on three different datasets described in the literature. We observed that, considering both accuracy and efficiency, RankFrag performs better than other state-of-art techniques.

RankFrag: A machine learning-based technique for finding corners in hand-drawn digital curves

COSTAGLIOLA, Gennaro;DE ROSA, MATTIA;FORTINO, VITTORIO;FUCCELLA, Vittorio
2015-01-01

Abstract

We describe RankFrag: a technique which uses machine learning to detect corner points in hand-drawn digital curves. RankFrag classifies the stroke points by iteratively extracting them from a list of corner candidates. The points extracted in the last iterations are said to have a higher rank and are more likely to be corners. The technique has been tested on three different datasets described in the literature. We observed that, considering both accuracy and efficiency, RankFrag performs better than other state-of-art techniques.
2015
1891706381
1891706381
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4677753
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