Skip to main content
Log in

Learning discriminative and invariant representation for fingerprint retrieval

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Maltoni D, Maio D, Jain A K, et al. Handbook of Fingerprint Recognition. Berlin: Springer, 2003

    MATH  Google Scholar 

  2. Gago-Alonso A, Hernández-Palancar J, Rodríguez-Reina E, et al. Indexing and retrieving in fingerprint databases under structural distortions. Expert Syst Appl, 2013, 40: 2858–2871

    Article  Google Scholar 

  3. Chen X J, Tian J, Yang X. A new algorithm for distorted fingerprints matching based on normalized fuzzy similarity measure. IEEE Trans Image Process, 2006, 15: 767–776

    Article  Google Scholar 

  4. Tang Y, Gao F, Feng J, et al. FingerNet: an unified deep network for fingerprint minutiae extraction. In: Proceedings of IEEE International Joint Conference on Biometrics, 2017. 108–116

    Google Scholar 

  5. Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. In: Proceedings of Annual Conference on Neural Information Processing Systems, 2012. 1097–1105

    Google Scholar 

  6. He K, Zhang X, Ren S, et al. Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, 2015. 1026–1034

    Google Scholar 

  7. Wang J, Li Y, Miao Z, et al. Learning deep discriminative features based on cosine loss function. Electron Lett, 2017, 53: 918–920

    Article  Google Scholar 

  8. Song D, Feng J. Fingerprint indexing based on pyramid deep convolutional feature. In: Proceedings of IEEE International Joint Conference on Biometrics, 2017. 200–207

    Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61333015).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Dehua Song or Jufu Feng.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, D., Li, R., Zhang, F. et al. Learning discriminative and invariant representation for fingerprint retrieval. Sci. China Inf. Sci. 62, 19104 (2019). https://doi.org/10.1007/s11432-018-9512-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9512-1

Navigation