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  • 标题:Signature Pattern Recognition using Kohonen Network
  • 本地全文:下载
  • 作者:Nadia Roosmalita Sari ; Moh. Zoqi Sarwani ; Yudha Alif Aulia
  • 期刊名称:Knowledge Engineering and Data Science
  • 印刷版ISSN:2597-4602
  • 电子版ISSN:2597-4637
  • 出版年度:2018
  • 卷号:1
  • 期号:2
  • 页码:39-45
  • DOI:10.17977/um018v1i22018p39-45
  • 出版社:Universitas Negeri Malang
  • 摘要:A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.
  • 其他摘要:A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.
  • 关键词:Signature;Image processing;Kohonen
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