Skip to main content
SpringerLink
Log in

Cancelable Palmprint Feature Generation Method Based on Minimum Signature

  • Conference paper
  • First Online:
Future Network Systems and Security (FNSS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1113))

Included in the following conference series:

  • 623 Accesses

Abstract

With the emphasis on biometric privacy protection, this paper proposes a method for generating cancelable palmprint features based on minimum signature. Firstly, orthogonal features of ROI of palmprint are extracted. In order to realize a layer of security and cancelability of palmprint features, a chaotic matrix is randomly generated as the key, and then xor orthogonal features form the initial feature matrix. Then the signature matrix is generated by generating hash function randomly. The initial value of signature matrix is infinite. The initial feature matrix is scanned and calculated by using the generated hash function, and the larger value in the original signature matrix is replaced by the minimum value to form a final signature matrix as a cancelable palmprint feature stored in the database. Experiments and theoretical analysis prove that the scheme can maintain high recognition performance and effectively protect the privacy of palmprint.

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

Access this chapter

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

Institutional subscriptions

References

  1. Leng, L., Teoh, A.B.J.: Alignment-free row-co-occurrence cancelable palmprint Fuzzy Vault. Pattern Recogn. 48(7), 2290–2303 (2015)

    Article  Google Scholar 

  2. Ratha, N., Connell, J., Bolle, R.: Enhancing security and privacy in biometrics-based authentication systems. IBM Syst. J. 40(3), 614–634 (2001)

    Article  Google Scholar 

  3. Quan, F., Fei, S., Anni, C., Feifei, Z.: Cracking cancelable fingerprint template of Ratha. In: International Symposium on Computer Science & Computational Technology. IEEE (2008)

    Google Scholar 

  4. Juels, A., Wattenberg, M.: A Fuzzy commitment scheme. In: Proceeding of 6th ACM Conference on Computer and Communications Security, pp. 28–36 (1999)

    Google Scholar 

  5. Umer, S., Dhara, B.C., Chanda, B.: A novel cancelable iris recognition system based on feature learning techniques. Inf. Sci. 406–407, 102–118 (2017)

    Article  Google Scholar 

  6. Dwivedi, R., Dey, S., Singh, R.: A privacy-preserving cancelable iris template generation scheme using decimal encoding and look-up table mapping. Comput. Secur. 65, 373–386 (2017)

    Article  Google Scholar 

  7. Rathgeb, C., Breitinger, F., Busch, C.: Alignment-free cancelable iris biometric templates based on adaptive bloom filters. In: Proceedings of ICB, pp. 1–8 (2013)

    Google Scholar 

  8. 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 

  9. Bringer, J., Morel, C., Rathgeb, C.: Security analysis and improvement of some biometric protected templates based on Bloom filters. Image Vis. Comput. 58, 239–253 (2017)

    Article  Google Scholar 

  10. Wang, S., Hu, J.: A blind system identification approach to cancelable fingerprint templates. Pattern Recogn. 54, 14–22 (2016)

    Article  Google Scholar 

  11. Wang, S., Yang, W., Hu, J.: Design of alignment-free cancelable fingerprint templates with zoned minutia Pairs. Pattern Recogn. 66, 295–301 (2017)

    Article  Google Scholar 

  12. Alam, B., Jin, Z., Yap, W.S.: An alignment-free cancelable fingerprint template for bio-cryptosystems. J. Netw. Comput. Appl. 115, 20–32 (2018)

    Article  Google Scholar 

  13. Li, H., Zhang, J., Zhang, Z.: Generating cancelable palmprint templates via coupled nonlinear dynamic filters and multiple orientation palmcodes. Inf. Sci. 180(20), 3876–3893 (2010)

    Article  Google Scholar 

  14. Jin, Z., Lai, Y.L., Hwang, J.Y.: Ranking based locality sensitive hashing enabled cancelable biometrics: index-of-max hashing. IEEE Trans. Inf. Forensics Secur. 13(2), 393–407 (2017)

    Article  Google Scholar 

  15. Zhang, D., Zuo, W., Yue, F.: A comparative study of palmprint recognition algorithms. ACM Comput. Surv. 44, 2–38 (2012)

    Article  Google Scholar 

  16. Zhang, D., Kong, W.K., You, J., Wong, M.: Online palmprint identification. IEEE Trans. Pattern Anal. Mach. Intel. 25, 1041–1050 (2003)

    Article  Google Scholar 

  17. Fei, L., Xu, Y., Zhang, D.: Half-orientation extraction of palmprint features. Pattern Recogn. Lett. 69, 35–41 (2016)

    Article  Google Scholar 

  18. Li, H., Zhang, J., Wang, L.: Robust palmprint identification based on directional representations and compressed sensing. Multimed. Tools Appl. 70(3), 2331–2345 (2014)

    Article  Google Scholar 

  19. Chai, Z., Sun, Z., Méndez-Vázquez, H., He, R., Tan, T.: Gabor ordinal measures for face recognition. IEEE Trans. Inf. Forensics Secur. 9(1), 14–26 (2014)

    Article  Google Scholar 

  20. Rathgeb, C., Uhl, A.: A survey on biometric cryptosystems and cancelable biometrics. EURASIP J. Inf. Secur. 2011(1), 3 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Science and Engineering, University of JiNan, Jinan, 250022, China

    Jian Qiu, Hengjian Li & Xiyu Wang

Authors
  1. Jian Qiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hengjian Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiyu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hengjian Li .

Editor information

Editors and Affiliations

  1. Deakin University, Burwood, VIC, Australia

    Robin Doss

  2. University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

  3. Information & Operations Management, ESCP Europe, PARIS, France

    Wei Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Qiu, J., Li, H., Wang, X. (2019). Cancelable Palmprint Feature Generation Method Based on Minimum Signature. In: Doss, R., Piramuthu, S., Zhou, W. (eds) Future Network Systems and Security. FNSS 2019. Communications in Computer and Information Science, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-030-34353-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-34353-8_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34352-1

  • Online ISBN: 978-3-030-34353-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation