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An Information Hiding Algorithm for Iris Features

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

Recently, iris identification technology have attracted much interests in the field of automatic biometric identification, taking uniqueness, stability and anti-counterfeiting of iris texture information and non-contact of iris recognition into consideration. However, the self-safety problem of iris recognition is caused by the safety of the iris itself. In order to enhance the security of iris feature data, an information hiding method based on adaptive multi-planet is proposed in this paper, in which, The iris feature is used as the secret information, the face image is the host information, and the data hiding algorithm of the iris feature template data is embedded into the face image according to the characteristics of the secret information and the host information. The algorithm has low computational complexity and large amount of information hiding, which realizes the hiding of biometrics to biometrics and enhances the security of biometric data. The simulation results show that The algorithm has strong concealment. The hidden algorithm has zero error rate and high computational efficiency. It does not affect the performance of the iris recognition technology itself. It can effectively protect the feature template data and enhance the security of the iris recognition system itself.

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Acknowledgements

This work is supported by Heilongjiang Provincial Education Department Project (SJGY20180390).

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Correspondence to Hongbin Ma .

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Feng, J., Ma, H., Ma, Q., Wang, Y., Liu, H., Chen, H. (2020). An Information Hiding Algorithm for Iris Features. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_176

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_176

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

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