Abstract
In this paper, a strict authentication watermarking scheme based on multi-modal biometric images and near sets was designed and introduced. The proposed scheme has a number of stages including feature enrolment for extracting the human facial features. Three human facial features which are nose length, nose width and distance between eyes balls are extracted. The near sets approach is adapted to choose the best feature among the considered features. The watermark is generated from hashing the extracted facial features that then encrypted using Advanced Encryption Standard (AES) technique and embedding the encrypted value into the human fingerprint image in order to confirm the integrity of respective biometric data. The experimental result shows that the proposed scheme guarantees the security assurance.
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El Bakrawy, L.M., Ghali, N.I., Hassanien, A.E., Peters, J.F. (2011). Strict Authentication of Multimodal Biometric Images Using Near Sets. In: Gaspar-Cunha, A., Takahashi, R., Schaefer, G., Costa, L. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 96. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20505-7_22
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DOI: https://doi.org/10.1007/978-3-642-20505-7_22
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