Skip to main content
SpringerLink
Log in
Book cover

International Conference on Algorithms and Architectures for Parallel Processing

ICA3PP 2018: Algorithms and Architectures for Parallel Processing pp 547–559Cite as

A Cancelable Multi-Biometric Template Generation Algorithm Based on Bloom Filter

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11336))

Abstract

For the security issue of multiple biometric templates in current multi-biometric systems, this paper proposes a cancelable multi-biometric template generation algorithm based on Bloom filter. Our algorithm uses the XOR operation to fuse the grouped fingerprint binary features and the face binary features into one template at the feature level, then transforms the fusion template based on the irreversibility of the Bloom filter. The cancelability and diversity of the fusion template can be achieved by updating the random matrix. Finally, a traversal matching method is used to calculate the matching score in the encryption domain. The experimental results show that our algorithm can ensure the reliability of the identity authentication and improve the security of the multi-biometric template.

This research is partially supported by the National Science Foundation of China (No. 61772166, 61272045) and the Key Program of the Nature Science Foundation of Zhejiang province of China (No. LZ17F020002).

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Chen, Y., Yang, J., Wang, C., Liu, N.: Multimodal biometrics recognition based on local fusion visual features and variational Bayesian extreme learning machine. Expert Syst. Appl. 64, 93–103 (2016)

    Article  Google Scholar 

  2. Ratha, N.K., Chikkerur, S., Connell, J.H., Bolle, R.M.: Generating cancelable fingerprint templates. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 561–572 (2007)

    Article  Google Scholar 

  3. Lim, M., Verma, S., Mai, G., Yuen, P.C.: Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection. Pattern Recognit. 60, 706–719 (2016)

    Article  Google Scholar 

  4. Rathgeb, C., Breitinger, F., Busch, C.: Alignment-free cancelable iris biometric templates based on adaptive bloom filters. In: International Conference on Biometrics, Madrid, pp. 1–8. IEEE (2013)

    Google Scholar 

  5. Rathgeb, C., Busch, C.: Cancelable multi-biometrics: mixing iris-codes based on adaptive bloom filters. Comput. Secur. 42(4), 1–12 (2014)

    Article  Google Scholar 

  6. Rathgeb, C., Gomez-Barrero, M., Busch, C., Galbally, J., Fierrez, J.: Towards cancelable multi-biometrics based on bloom filters: a case study on feature level fusion of face and iris. In: International Workshop on Biometrics and Forensics, Gjovik, pp. 1–6. IEEE(2015)

    Google Scholar 

  7. Gomez-Barrero, M., Rathgeb, C., Galbally, J., Fierrez, J.: Protected facial biometric templates based on local gabor patterns and adaptive bloom filters. In: International Conference on Pattern Recognition, Stockholm, pp. 4483–4488. IEEE (2014)

    Google Scholar 

  8. Li, G., Yang, B., Rathgeb, C., Busch, C.: Towards generating protected fingerprint templates based on bloom filters. In: International Workshop on Biometrics and Forensics, Gjovik, pp. 1–6. IEEE (2015)

    Google Scholar 

  9. Stokkenes, M., Ramachandra, R., Sigaard, M.K., Raja, K., Gomez-Barrero, M., Busch, C.: Multi-biometric template protection – a security analysis of binarized statistical features for bloom filters on smartphones. In: 2016 Sixth International Conference on Image Processing Theory, Tools and Applications, Oulu, pp. 1–6. IEEE (2016)

    Google Scholar 

  10. Sadhya, D., Singh, S.K.: Providing robust security measures to Bloom filter based biometric template protection schemes. Comput. Secur. 67, 59–72 (2017)

    Article  Google Scholar 

  11. Lee, C., Kim, J.: Cancelable fingerprint templates using minutiae-based bit-strings. J. Netw. Comput. Appl. 33(3), 236–246 (2010)

    Article  Google Scholar 

  12. Yang, W., Hu, J., Wang, S., Stojmenovic, M.: An alignment-free fingerprint bio-cryptosystem based on modified Voronoi neighbor structures. Pattern Recognit. 47(3), 1309–1320 (2014)

    Article  Google Scholar 

  13. Sandhya, M., Prasad, M.V.N.K.: k-Nearest Neighborhood Structure (k-NNS) based alignment-free method for fingerprint template protection. In: International Conference on Biometrics, Phuket, pp. 386–393. IEEE (2015)

    Google Scholar 

  14. Teoh, A.B.J., Goh, A., Ngo, D.C.L.: Random multispace quantization as an analytic mechanism for biohashing of biometric and random identity inputs. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 1892–1901 (2006)

    Article  Google Scholar 

  15. Zheng, Y., Cao, Y., Chang, C.H.: Facial biohashing based user-device physical unclonable function for bring your own device security. In: 2018 IEEE International Conference on Consumer Electronics, Las Vegas, pp. 1–6. IEEE (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China

    Lin You & Xun Li

Authors
  1. Lin You
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lin You .

Editor information

Editors and Affiliations

  1. Rutgers University–Newark, Newark, NJ, USA

    Jaideep Vaidya

  2. Guangzhou University, Guangzhou, China

    Jin Li

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

You, L., Li, X. (2018). A Cancelable Multi-Biometric Template Generation Algorithm Based on Bloom Filter. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11336. Springer, Cham. https://doi.org/10.1007/978-3-030-05057-3_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05057-3_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05056-6

  • Online ISBN: 978-3-030-05057-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation