Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/7369
Title: Automatic online signature verification: A prototype using neural networks
Authors: Ahmed, S.K. 
Ramasamy, A.K. 
Khairuddin, A.S.Mohd. 
Omar, J. 
Issue Date: 2009
Abstract: 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.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/7369
Appears in Collections:COE Scholarly Publication

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