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  • 标题:Graph Based Filtering and Matching for Symbol Recognition
  • 本地全文:下载
  • 作者:Vaishali Pawar ; Mukesh Zaveri
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2018
  • 卷号:09
  • 期号:03
  • 页码:167-191
  • DOI:10.4236/jsip.2018.93010
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Pattern recognition is a task of searching particular patterns or features in the given input. The data mining, computer networks, genetic engineering, chemical structure analysis, web services etc. are few rapidly growing applications where pattern recognition has been used. Graphs are very powerful model applied in various areas of computer science and engineering. This paper proposes a graph based algorithm for performing the graphical symbol recognition. In the proposed approach, a graph based filtering prior to the matching is performed which significantly reduces the computational complexity. The proposed algorithm is evaluated using a large number of input drawings and the simulation results show that the proposed algorithm outperforms the existing algorithms.
  • 关键词:Graphs;Pattern Recognition;Information Retrieval;Graph Matching;Data Mining
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