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Patient Fingerprint Minutiae Based Medical Image Watermarking and Adaptive Integrity

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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) (AMLTA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 723))

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Abstract

The robustness and integrity of multimedia content is an important issue in data security. Digital watermarking can contribute significantly to verify both robustness and integrity and to prove any illegal manipulation. Through this paper, we propose a new watermarking approach verifying the integrity of the patient’s medical images contents. The proposed approach is based on extracting the minutiae from the patient’s fingerprints to serve as a proof of integrity. Choosing minutiae was also aimed to reduce the computational complexity in the watermark embedding and extracting processes to be well adapted for the real-time telemedicine applications compared to the existing works. We tested our approach against the most common attacks to judge the performance of the proposed approach. The obtained results are very encouraging in which we detail through this paper.

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Correspondence to Lamri Laouamer .

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Laouamer, L., El Mouhtadi, M. (2018). Patient Fingerprint Minutiae Based Medical Image Watermarking and Adaptive Integrity. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_67

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  • DOI: https://doi.org/10.1007/978-3-319-74690-6_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74689-0

  • Online ISBN: 978-3-319-74690-6

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