Abstract
Our paper presents a new method to securing electronic documents. This method integrate hybrid technologies such as biometrics founded on fingerprint recognition, PDF417 [3] coding, encryption methods, and electronic document signing. This method practices these techniques to enhance the signature security and therefore the signer’s authentication guarantee.
Authentication is a task asked by several domains to certify the security and information uniqueness.
In our method we have opted for the use of fingerprint recognition techniques to certify a great level of confidentiality.
To do this we have prepared a database holding fingerprints for an important number of people.
The identification and classification of fingerprints is done through a convolutional Neural network of Deep Learning [8].
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Smaoui, S., Ben Salah, M., Sakka, M. (2021). Signature of Electronic Documents Based on Fingerprint Recognition Using Deep Learning. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds) Intelligent Systems Design and Applications. ISDA 2019. Advances in Intelligent Systems and Computing, vol 1181. Springer, Cham. https://doi.org/10.1007/978-3-030-49342-4_33
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DOI: https://doi.org/10.1007/978-3-030-49342-4_33
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