Automatic online signature verification: A prototype using neural networks

Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressu...

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Main Authors: Ahmed, S.K., Ramasamy, A.K., Khairuddin, A.S.Mohd., Omar, J.
格式: Conference Paper
語言:English
出版: 2017
在線閱讀:http://dspace.uniten.edu.my/jspui/handle/123456789/7369
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總結:Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature). © 2009 IEEE.