Fractal Dependence Graph in 2D Shapes Recognition

Xiao Jun Wang; Jian Qin

doi:10.4028/www.scientific.net/AMM.143-144.715

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144Fractal Dependence Graph in 2D Shapes Recognition

Fractal Dependence Graph in 2D Shapes Recognition

Abstract:

Fractal geometry is an useful approach in pattern recognition. Many fractal recognition methods use global analysis of the shape. In this paper we present a new fractal recognition method based on a dependence graph obtained from the PIFS. Moreover, this method uses local analysis of the shape which improves the recognition rate. The recognition algorithms have been tested to provide a feasible classification of the possible errors present in our similar object images datebase.

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Applied Mechanics and Materials (Volumes 143-144)

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715-720

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.143-144.715

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Online since:

December 2011

Authors:

Xiao Jun Wang, Jian Qin

Keywords:

Fractals Dependence Graph, Pattern Recognition, Shape Recognition

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