Classification of Features into Strong and Weak Features for an Intelligent Online Signature Verification System

نویسندگان

  • Saad Tariq
  • Saqib Sarwar
  • Waqar Hussain
چکیده

This paper presents an efficient algorithm for the classification of features into strong and weak features for every distinct subject to create an intelligent online signature verification system. Whereas Euclidean distance classifier is used for validation processes and low error rates obtained illustrate the feasibility of the algorithm for an online signature verification system. Keywords-Signature Biometrics; intellegient signature verification ; online signature verification; classification of features; strong features; weak features; dynamic signature verification; euclidean distance classifer

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تاریخ انتشار 2011