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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| 主要な著者: | , , , |
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| フォーマット: | Conference Paper |
| 言語: | English |
| 出版事項: |
2017
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| オンライン･アクセス: | http://dspace.uniten.edu.my/jspui/handle/123456789/7369 |
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| 要約: | 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. |
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