Identification Of Signature Using Zoning Methods And Support Vector Machine

  • Yuli Christyono Diponegoro University
  • Ajub Ajulian Zahra Diponegoro University

Abstract

Identification of signatures is the  process of identifying and defining a person's signature. Identification of signatures including  biometics that use natural human behavior. Identification of signatures can be used in security areas such as money withdrawal permits, check validation, credit card transactions and more. During this signature identification is done manually. Difficulty in this way, if the signature to be identified is large, the examiner will experience fatigue. To simplify it needs to be developed to create a computerized signature identification system. In this research, the development of this signature identification is done using the method of zoning and Support Vector Machine (SVM) classification. Based on the tests that have been done, normal test data test resulted in recognition accuracy of 95.31%. In testing the test data with disturbance obtained accuracy of 20.31%. While the testing of artificial signatures generated an accuracy of 70%. In addition to the registered signature image pattern, there are also signature images that are not registered in the database. The accuracy obtained in this test is 100%..

Author Biography

Ajub Ajulian Zahra, Diponegoro University

She is a lecturer of Electrical Engineering Departement Diponegoro University

Published
2018-11-30
How to Cite
[1]
Y. Christyono and A. Zahra, “Identification Of Signature Using Zoning Methods And Support Vector Machine”, EPH - International Journal of Science And Engineering (ISSN: 2454 - 2016), vol. 4, no. 11, pp. 01-09, Nov. 2018.

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