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IMCI: an efficient fingerprint retrieval approach based on 3D stacked memory

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Acknowledgements

This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61821003, 61672513, 61572377) and Science and Technology Planning Project of Guangdong Province (Grant No. 2019B010137002).

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Authors and Affiliations

  1. Wuhan National Laboratory for Optoelectronics, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Wen Cheng, Ran Cai, Lingfang Zeng & Dan Feng

  2. Department of Computer Science, Johannes Gutenberg-University Mainz, Mainz, 55128, Germany

    André Brinkmann

  3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Yang Wang

Authors
  1. Wen Cheng
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  2. Ran Cai
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  3. Lingfang Zeng
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  4. Dan Feng
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  5. André Brinkmann
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  6. Yang Wang
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Corresponding authors

Correspondence to Lingfang Zeng or Yang Wang.

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Cheng, W., Cai, R., Zeng, L. et al. IMCI: an efficient fingerprint retrieval approach based on 3D stacked memory. Sci. China Inf. Sci. 63, 179101 (2020). https://doi.org/10.1007/s11432-019-2672-5

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