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Department of Electronics and Computer Science, Koszalin University of Technology Sniadeckich 2, 75-453 Koszalin, Poland E-mail: dariusz.jakobczak@tu.koszalin.pl ABSTRACT Proposed method is dealing with multi-dimensional data modeling, extrapolation and interpolation using the set of high-dimensional feature vectors. Identification of handwriting, signature, faces or fingerprints need data modeling and each model of the pattern is built by a choice of characteristic key points and multi-dimensional modeling functions. Novel modeling via nodes combination and parameter γ as Ndimensional function enables data parameterization and interpolation for feature vectors. Multidimensional data is modeled and interpolated via different functions for each feature: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.

Retrieval of Shape using Curves and Contours