2011
DOI: 10.1016/j.imavis.2011.10.002
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Measuring linearity of open planar curve segments

Abstract: In this paper we define a new linearity measure for open planar curve segments. We start with the integral of the squared distances between all the pairs of points belonging to the measured curve segment, and show that, for curves of a fixed length, such an integral reaches its maximum for straight line segments. We exploit this nice property to define a new linearity measure for open curve segments. The new measure ranges over the interval (0, 1], and produces the value 1 if and only if the measured open line… Show more

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Cited by 15 publications
(17 citation statements)
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“…Since the identity of the signature is already known, the nearest neighbour matching is only applied to the set of genuine and forged examples of the subject's signature. Our previous results using the linearity measure defined in [36] achieved 93.1% accuracy, which is now improved. Computing linearity of the 2D signatures using L(C) produces 97.2% accuracy.…”
Section: Methodsmentioning
confidence: 68%
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“…Since the identity of the signature is already known, the nearest neighbour matching is only applied to the set of genuine and forged examples of the subject's signature. Our previous results using the linearity measure defined in [36] achieved 93.1% accuracy, which is now improved. Computing linearity of the 2D signatures using L(C) produces 97.2% accuracy.…”
Section: Methodsmentioning
confidence: 68%
“…To compare objects considered we use linearity plots (the approach is taken from [36] and more details can be found therein) to provide more information than a single linearity measurement. The idea is to compute linearity incrementally, i.e.…”
Section: Definitions and Denotationsmentioning
confidence: 99%
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“…Several linearity measures for curve segments are already considered in the literature (Gautama et al, 2004;Gautama et al, 2003;Stojmenović et al, 2008;Zunić and Rosin, 2011).…”
Section: Introductionmentioning
confidence: 99%