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Proceedings of

3rd International Conference on Advances in Computing, Communication and Information Technology CCIT 2015

"THE METHOD OF PROBABILISTIC NODES COMBINATION IN 2D INFORMATION RECONSTRUCTION, OBJECT RECOGNITION AND MODELING"

DARIUSZ JACEK JAKOBCZAK
DOI
10.15224/978-1-63248-061-3-55
Pages
93 - 98
Authors
1
ISBN
978-1-63248-061-3

Abstract: “Proposed method, called Probabilistic Nodes Combination (PNC), is the method of 2D curve modeling and handwriting identification by using the set of key points. Nodes are treated as characteristic points of signature or handwriting for modeling and writer recognition. Identification of handwritten letters or symbols need modeling and the model of each individual symbol or character is built by a choice of probability distribution function and nodes combination. PNC modeling via nodes combination and parameter γ as probability distribution function enables curve parameterization and interpolation for each specific letter or symbol. Two-dimensional curve is modeled and interpolated via nodes combination and different functions as continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.”

Keywords: handwriting identification, shape modeling, curve interpolation, PNC method, nodes combination, probabilistic modeling

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