Skip to main content
SpringerLink
Log in

A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault

  • Image & Signal Processing
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Biometric authentication is the process of recognizing a person by means of his\her psychological or behavioral traits. One of the most important issues faced by the biometric system developer is to protect the template obtained from the biometric of a person. Unimodal biometric system has some drawbacks such as noisy data, interclass variations and spoof attack. Multimodal biometric system has been developed to address the boundaries of unimodal biometric system and increase the security of template. In this paper, template security analysis of multimodal biometric system based of fingerprint and palmprint is proposed and implemented. Fuzzy vault scheme is employed to protect both the fingerprint and palmprint template. At enrollment, image processing techniques such as image enhancement, segmentation and bottom-hat filtering are applied on both the biometric to improve the quality and subsequently the most important features are extracted. Extracted features are concatenated. Combined features along with secret key are utilized to generate the database in the vault. During authentication, query images are sent as an input with the stored template to recover the key. Experimental results are shown that the proposed multi biometrics system performs well than the other methods considered for comparison.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Fu, B., Yang, S. X., Li, J., and Hu, D., Multibiometric Cryptosystem: Model Structure and Performance Analysis. IEEE Transactions on Information Forensics and Security 4(4):867–882, 2009.

    Article  Google Scholar 

  2. Brindha, V. E., and Natarajan, A. M., Multi-Modal Biometric Template Security: Fingerprint and Palmprint Based Fuzzy Vault. Journal of Biometrics & Biostatistics 3(6):1–6, 2012.

    Article  Google Scholar 

  3. Sanjekar, J. B., and Patil, P. S., An Overview of Multimodal Biometrics, Signal & Image Processing. An International Journal (SIPIJ) 4(1):57–64, 2013.

    Google Scholar 

  4. Mishra, A., Multimodal Biometrics it is: Need for Future System. Int. J. Comput. Appl. 3(4):28–33, 2010.

    Google Scholar 

  5. Prakash, S. M., Betty, P., and Sivanarulselvan, K., Fusion of Multimodal Biometrics using Feature and Score Level Fusion. International Journal on Applications in Information and Communication Engineering 2(4):52–56, 2016.

    Google Scholar 

  6. Nagar, A., Nandhakumar, K., and Jain, A. K., Multibiometric cryptosystem based on feature level fusion. IEEE Transaction on Information Forensics and Security 7(1):255–268, 2012.

    Article  Google Scholar 

  7. Juels, A., and Sudan, M., A fuzzy vault scheme. Des. Codes Crypt. 38(2):237–257, 2006.

    Article  Google Scholar 

  8. Juels, A., and Wattenberg, M., A fuzzy commitment scheme. ACM Conference on Computer and Communications Security, New York: ACM, 28–36, 1999.

  9. Draper, S., Khisti, A., Martinian, E., Vetro, A., and Yedidia, J. S., Using distributed source coding to secure fingerprint biometrics. IEEE International Conference on Acoustics, Speech and Signal Processing, IN-9582274, 2007.

  10. Dodis, Y., Reyzin, L., and Smith, A., Fuzzy extractors: How to generate strong keys from biometrics and other noisy data. Advances in cryptology-Euro crypt, Springer Berlin Heidelberg, 523–540, 2004.

    Chapter  Google Scholar 

  11. Uludag, U., and Jain, A. K., Securing fingerprint template: fuzzy vault with helper data. In: Proceedings of IEEE Workshop on Privacy Research in Vision, pp. 163–169, 2006.

  12. Orencik, C., Fuzzy vault scheme for fingerprint verification: implementation, analysis and improvements. Sabanci University, pp. 1–50, 2008.

  13. NandaKumar, K., Multibiometric systems: fusion strategies and template security. PhD Thesis, Department of Computer Science and Engineering, Michigan State University, 2008.

  14. Vinothkanna, R., and Wahi, A., Fuzzy Vault Fusion Based Multimodal Biometric Human Recognition System with Fingerprint and Ear. J. Theor. Appl. Inf. Technol. 59(2):304–316, 2014.

    Google Scholar 

  15. Selwal, A., Gupta, S. K., and Kumar, S., A Scheme for Template Security at Feature Fusion Level in Multimodal Biometric System. Advances in Science and Technology 10(31):23–30, 2016.

    Google Scholar 

  16. Bhowmik, P., Bhowmik, K., Azam, M. N., and Rony, M. W., Fingerprint image enhancement and its feature extraction for recognition. Int. J. Sci. Technol. Res. 1(5):117–121, 2012.

    Google Scholar 

  17. Tatar, F., and Machhout, M., Improvement of the fingerprint recognition process. Int. J. Bioinform. Biosci. 7(2):1–16, 2017.

    Google Scholar 

  18. Tam, B., Mihăilescu, P., and Munk, A., Security considerations in minutiae-based fuzzy vaults. IEEE Trans. Inf. Forensics Secur. 10(5):985–998, 2015.

    Article  Google Scholar 

  19. Malik, J., Sainarayanan, G., and Dahiya, R., Personal Authentication using Palmprint with Sobel Code, Canny Edge and Phase Congruency Feature Extraction Method. ICTACT Journal on Image and Video Processing 2(3):357–368, 2012.

    Article  Google Scholar 

  20. Bruno, A., Carminetti, P., Gentile, V, La Cascia, M., and Mancino, E., Palmprint principal lines extraction. In the proceedings of the IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, BIOMS, 2014.

  21. Jain, K., Nandakumar, K., and Nagar, A., Biometric template security. EURASIP Journal on Advances in Signal Processing:1–17, 2008.

  22. Nandakumar, K., Jain, A. K., and Pankanti, S., Fingerprint based fuzzy vault: implementation and performance. IEEE Trans. Inf. Forensics Secur. 2(4):744–757, 2007.

    Article  Google Scholar 

  23. Meenakshia, V. S., and Padmavathi, G., Security analysis of password hardened multimodal biometric fuzzy vault with combined feature points extracted from fingerprint, iris and retina for high security applications. Proc, Computer. Science. 2:195–206, 2010.

    Article  Google Scholar 

  24. Kholmatov, A., and Yanikoglu, B., Realization of correlation attack against the fuzzy vault scheme. Proc. SPIE 6819:681900–681907, 2008.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, P. A. College of Engineering and Technology, Pollachi, Tamilnadu, India

    V. Sujitha & D. Chitra

Authors
  1. V. Sujitha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. Chitra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to V. Sujitha.

Ethics declarations

Conflicts of interest

The authors have no conflict of interests and the paper has not been submitted to any other Journals.

Human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

It is not required as the dataset is taken online databases.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Image & Signal Processing

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sujitha, V., Chitra, D. A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault. J Med Syst 43, 112 (2019). https://doi.org/10.1007/s10916-019-1220-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-019-1220-x

Keywords

Search

Navigation