Publication: Automatic online signature verification: A prototype using neural networks
Date
2009
Authors
Ahmed S.K.
Ramasamy A.K.
Khairuddin A.S.Mohd.
Omar J.
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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.
Description
Keywords
Biometrics , Neural networks , Self-organizing maps , Signature verification , Biometrics , Character recognition , Conformal mapping , MATLAB , Handwritten signatures , Low costs , On-line signature verification , Prototype system , Signature verification , Self organizing maps