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  • 标题:Features Extraction and Verification of Signature Image using Clustering Technique
  • 本地全文:下载
  • 作者:Samit Biswas1 ; Tai-hoon Kim2. ; Debnath Bhattacharyya
  • 期刊名称:International Journal of Smart Home
  • 印刷版ISSN:1975-4094
  • 出版年度:2010
  • 卷号:4
  • 期号:3
  • 出版社:SERSC
  • 摘要:Humans are comfortable with pen and papers for authentication and authorization in legal transactions. In this case it is very much essential that a person’s Hand written signature to be identified uniquely. The development of efficient technique is to extract features from Handwritten Signature Image and verify the signature with higher accuracy. This paper presents a method for off line hand written signature verification with higher accuracy. In this paper we have introduced a procedure to extract features from Handwritten Signature Images. That computed feature is used for verification. Here we used a clustering technique for verification.
  • 关键词:Segmentation; Morphological operation; Thinning; Region of Interest (ROI); Clustering;Techniques.
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