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  • 标题:Object’s Shape Recognition using Local Binary Patterns
  • 本地全文:下载
  • 作者:Muhammad Wasim ; Adnan Ahmed Siddiqui ; Abdul Aziz
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2017
  • 卷号:8
  • 期号:8
  • DOI:10.14569/IJACSA.2017.080833
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper discusses the concept of object’s shape identification using local binary pattern technique (LBP). Since LBP is computationally simple it has been utilized successfully for recognition of various objects. LBP which has the potential to be used in various identification related fields was applied on a number of different shaped objects, the process converted the given image in to 3x3 binary matrices and several rounds of computation yields the final decision parameter, which is known as merit function. This parameter was then exploited to uniquely identify the shape of different objects.
  • 关键词:Local binary patterns; object shape recognition; security technologies; content based recognition
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