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文章基本信息

  • 标题:Fingerprint Pattern of Matching Family with GLCM Feature
  • 本地全文:下载
  • 作者:Bahtiar Imran ; Karya Gunawan ; Muhammad Zohri
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2018
  • 卷号:16
  • 期号:4
  • 页码:1864-1869
  • DOI:10.12928/telkomnika.v16i4.8534
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 其他摘要:In this research, fingerprint pattern matching is done to find out whether there is the similarity between parent and child fingerprint pattern. An important step in fingerprint matching is the fingerprint pattern search and matching. Fingerprint data is used by 11 families from various families. The method used in fingerprint feature extraction is GLCM. The GLCM angle used is 0o, and the features used are contrast, homogeneity, correlation, and energy. For fingerprint pattern matching use minutiae score. From the results obtained GLCM has been widely used in fingerprint texture analysis. This study proves that the proposed method for matching fingerprints on parents and children gets the most dominant pattern is the loop pattern.
  • 关键词:fingerprint;GLCM;pattern;texture;analysis
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