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We introduce a novel class of rotation invariants of two dimensional curvesbased on iterated integrals. The invariants we present are in some sensecomplete and we describe an algorithm to calculate them, giving explicitcomputations up to order six. We present an application to online(stroke-trajectory based) character recognition. This seems to be the firsttime in the literature that the use of iterated integrals of a curve isproposed for (invariant) feature extraction in machine learning applications.

Rotation invariants of two dimensional curves based on iterated integrals