Paper Title:
Research on the Application of Pattern Recognition in the Intelligent Identification of Wallpaper Labeling
  Abstract

In order to realize the intelligent identification of wallpaper labeling, the wallpaper texture and the characteristic of color are comprehensively considered in this paper to rich the pattern feature space. Firstly, the suitable GLCM (gray level-gradient co-occurrence matrix)is constructed to describe the texture feature and extract the feature parameters; And the parameters of color low order matrix are picked up in the RGB color space to constitute mode characteristic vector together. Secondly, to reduce the computation and improve the describing abilities, the Simulated Annealing Algorithm is applied to select feature value from 17 feature parameters. Lastly, the integrated classifier of BP neural network is designed to achieve 94.03% overall recognition rate, which is higher than the traditional one. The experiment results also have shown that this method is effective.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
518-523
DOI
10.4028/www.scientific.net/AMM.65.518
Citation
Y. Q. Wang, Y. Q. Wang, L. H. Chen, "Research on the Application of Pattern Recognition in the Intelligent Identification of Wallpaper Labeling", Applied Mechanics and Materials, Vol. 65, pp. 518-523, 2011
Online since
June 2011
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