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Fingerprint-based access to personally controlled health records in emergency situations

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References

  1. Fu Z J, Ren K, Shu J G, et al. Enabling personalized search over encrypted outsourced data with efficiency improvement. IEEE Trans Parall Distrib Syst, 2016, 27: 2546–2559

    Article  Google Scholar 

  2. Xia Z H, Wang X H, Zhang L G, et al. A privacypreserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Trans Inform Forens Secur, 2016, 11: 2594–2608

    Article  Google Scholar 

  3. Wang J W, Lian S G, Shi Y Q. Hybrid multiplicative multi-watermarking in DWT domain. Multidimension Syst Signal Process, 2017, 28: 617–636

    Article  Google Scholar 

  4. Zhou Z L, Wang Y L, Wu Q M J, et al. Effective and efficient global context verification for image copy detection. IEEE Trans Inform Forens Secur, 2017, 12: 48–63

    Article  Google Scholar 

  5. Chen T T, Zhong S. Emergency access authorization for personally controlled online health care data. J Med Syst, 2012, 36: 291–300

    Article  Google Scholar 

  6. Zhang Y, Dhileepan S, Schmidt M, et al. Emergency access for online personally controlled health records system. Inform Health Soc Care, 2012, 37: 190–202

    Article  Google Scholar 

  7. Yuan C S, Sun X M, Lv R. Fingerprint liveness detection based on multi-scale LPQ and PCA. China Commun, 2016, 13: 60–65

    Article  Google Scholar 

  8. Fierrez J, Ortega-Garcia J, Toledano D T, et al. BioSec baseline corpus: a multimodal biometric database. Patt Recognit, 2007, 40: 1389–1392

    Article  MATH  Google Scholar 

  9. Chen B J, Yang J H, Jeon B, et al. Kernel quaternion principal component analysis and its application in RGB-D object recognition. Neurocomputing, 2017, 266: 293–303

    Article  Google Scholar 

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Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant Nos. 61402223, 61300235) and Natural Science Foundation of Shandong Province (Grant No. ZR2014DL008).

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Authors and Affiliations

  1. School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai, 264005, China

    Shaopeng Guan & Yongyu Wang

  2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Jian Shen

  3. Haian High-Tech Research Institute of Nanjing University, Haian, 226600, China

    Shaopeng Guan

Authors
  1. Shaopeng Guan
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  2. Yongyu Wang
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  3. Jian Shen
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Corresponding author

Correspondence to Shaopeng Guan.

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The authors declare that they have no conflict of interest.

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Guan, S., Wang, Y. & Shen, J. Fingerprint-based access to personally controlled health records in emergency situations. Sci. China Inf. Sci. 61, 059103 (2018). https://doi.org/10.1007/s11432-017-9188-8

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  • DOI: https://doi.org/10.1007/s11432-017-9188-8

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