The Method of Probabilistic Nodes Combination in 2D Information Reconstruction, Object Recognition and Modeling

DARIUSZ JACEK, JAKOBCZAK (2015) The Method of Probabilistic Nodes Combination in 2D Information Reconstruction, Object Recognition and Modeling. In: Third International Conference on Advances in Computing, Communication and Information Technology- CCIT 2015, 26 - 27 May,2015, Birmingham B42 2SU, UNITED KINGDOM.

[img]
Preview
Text
20150604_100502.pdf - Published Version

Download (712kB) | Preview
Official URL: https://www.seekdl.org/conferences/paper/details/6...

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: handwriting identification, shape modeling, curve interpolation, PNC method, nodes combination, probabilistic modeling
Depositing User: Mr. John Steve
Date Deposited: 30 Apr 2019 07:50
Last Modified: 30 Apr 2019 07:50
URI: http://publications.theired.org/id/eprint/1712

Actions (login required)

View Item View Item