Biometric watermarking for security enhancement in digital images

• Autorzy: Wójtowicz W.
• Języki publikacji: EN

Abstrakty

EN

In this paper some preliminary investigation on combination of watermarking technique with biometric data to increase security of digital images in case of medical images is proposed. Performance of watermarking algorithm, based on discrete wavelet transform (DWT) decomposition, that incorporates biometric watermark is elaborated. The frequency domain were chosen as it is proven, that this domain provides better robustness against attacks and leads to less perceptibility of an embedded watermark. To assure confidentiality of patient data their hand geometry features are embedded instead of patient’s name. Proposed system is evaluated by measuring the similarity between embedded and extracted biometric codes.

Słowa kluczowe

EN

images security; watermarking technique; discrete wavelet transform; DWT; biometrics; principal component analysis (PCA)

• Wydawca: Foundation for Young Scientists
• Czasopismo: Challenges of Modern Technology
• Rocznik: 2013
• Tom: Vol. 4, no. 4
• Strony: 7--11
• Opis fizyczny: Bibliogr. 9 poz., tab., wykr.

Twórcy

autor

Wójtowicz W.

• EAIiIB Department, Institute of Automatics and Biomedical Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków

Bibliografia

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• [3] Maeder A., Planitz B., Medical image watermarking: a study on image degradation. Australian Pattern Recognition Society (APRS) Workshop on Digital Image Computing (WDIC 2005), pp. 3 – 8, 2005.
• [4] Bolle R.M., Connell J.H., Pankanti S., Ratha N.K., Senior A.W., TAO biometria, Wydawnictwa Naukowo-Techniczne , Warszawa, 2008.
• [5] A. K., Ross A., Prabhakar S., An Introduction to Biometric Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1., 2004.
• [6] Ślot K., Wybrane zagadnienia biometrii, Warszawa, Wydawnictwa Komunikacji i Łączności, 2008.
• [7] Boreki G.., Zimmer A., Hand Geometry Feature Extraction through Curvature Profile Analysis, UNICENP, Computer Engineering Department, 2004.
• [8] Wong L., Shi P., Peg-free hand geometry recognition using hierarchical geometry and shape matching, IAPR Workshop on Machine Vision Applications, Nara, Japan, pp.281–284, 2002.
• [9] Wu J., Qiu Z., A Hierarchical Palmprint Identification Method Using Hand Geometry and Grayscale Distribution Features, Eighteenth IEEE International Conference on Pattern Recognition Vol. 00, Issue c, pp. 409 412, 2006. Electronics, Telecommunications and Informatics 11