Fuzzy Logic and Multi-biometric Fusion - An Overview

Fabian Maul, Naser Damer


Fuzzy logic has been proposed to improve various aspects of multi-biometric applications including enhancements to the decision making of the application and the robustness to noisy data. This paper discusses recent work that utilized fuzzy logic techniques within the multi-biometric fusion problem. This discussion is presented under two categories, the type of authentication scenario and the nature of the fused data. The paper also presents an introduction to fuzzy logic and multi-biometric fusion. Based on the discussed works, this paper aims to establish current trends and research possibilities in this field.


  1. Abdolahi, M., Mohamadi, M., and Jafari, M. (2013). Multimodal biometric system fusion using fingerprint and iris with fuzzy logic. International Journal of Soft Computing and Engineering, 2(6):504-510.
  2. Azzini, A., Damiani, E., and Marrara, S. (2007). Ensuring the identity of a user in time: a multi-modal fuzzy approach. In IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), pages 94-99. IEEE.
  3. Azzini, A., Marrara, S., Sassi, R., and Scotti, F. (2008). A fuzzy approach to multimodal biometric continuous authentication. Fuzzy Optimization and Decision Making, 7(3):243-256.
  4. Biswas, S., Ahmad, S., and Molla, M. K. (2007). Speaker identification using cepstral based features and discrete hidden markov model. In Information and Communication Technology, 2007. ICICT'07. International Conference on, pages 303-306. IEEE.
  5. Chang, K., Bowyer, K. W., Sarkar, S., and Victor, B. (2003). Comparison and combination of ear and face images in appearance-based biometrics. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 25(9):1160-1165.
  6. Chen, H., Wu, Z., and Cudré-Mauroux, P. (2012). Semantic web meets computational intelligence: State of the art and perspectives [review article]. Computational Intelligence Magazine, IEEE, 7(2):67-74.
  7. George J, K. and Bo, Y. (2008). Fuzzy sets and fuzzy logic, theory and applications. -.
  8. Hamid, L. and Ramli, D. (2014). Quality based speaker verification systems using fuzzy inference fusion scheme. In International Conference on Communications, Signal Processing and Computers.
  9. Hasan, M. R., Jamil, M., and Rahman, M. G. R. M. S. (2004). Speaker identification using mel frequency cepstral coefficients. variations, 1:4.
  10. Hong, L., Jain, A. K., and Pankanti, S. (1999). Can multibiometrics improve performance? In Proceedings AutoID, volume 99, pages 59-64.
  11. Hui, H. P.-S., Meng, H. M., and Mak, M.-W. (2007). Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion. In Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, volume 1, pages I-501. IEEE.
  12. Lau, C. W., Ma, B., Meng, H. M.-L., Moon, Y.-S., and Yam, Y. (2004). Fuzzy logic decision fusion in a multimodal biometric system. In INTERSPEECH.
  13. Mendel, J. M. (1995). Fuzzy logic systems for engineering: a tutorial. Proceedings of the IEEE, 83(3):345-377.
  14. Mondal, S. and Bours, P. (2013). Continuous authentication using mouse dynamics. In Biometrics Special Interest Group (BIOSIG), 2013 International Conference of the, pages 1-12. IEEE.
  15. Park, C., Paik, J., Choi, T., Kim, S., Kim, Y., and Namkung, J. (2006). Multi-modal human verification using face and speech. In Computer Vision Systems, 2006 ICVS'06. IEEE International Conference on, pages 54-54. IEEE.
  16. Ross, A., Nandakumar, K., and Jain, A. K. (2008). Introduction to multibiometrics. In Handbook of biometrics, pages 271-292. Springer.
  17. Rowley, H. A., Baluja, S., and Kanade, T. (1998). Neural network-based face detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 20(1):23-38.
  18. Samaria, F. and Young, S. (1994). HMM-based architecture for face identification. Image and vision computing, 12(8):537-543.
  19. Vasuhi, S., Vaidehi, V., Babu, N. N., and Treesa, T. M. (2010). An efficient multi-modal biometric person authentication system using fuzzy logic. In Advanced Computing (ICoAC), 2010 Second International Conference on, pages 74-81. IEEE.
  20. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3):338-353.

Paper Citation

in Harvard Style

Maul F. and Damer N. (2015). Fuzzy Logic and Multi-biometric Fusion - An Overview . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 218-222. DOI: 10.5220/0005193302180222

in Bibtex Style

author={Fabian Maul and Naser Damer},
title={Fuzzy Logic and Multi-biometric Fusion - An Overview},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},

in EndNote Style

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Fuzzy Logic and Multi-biometric Fusion - An Overview
SN - 978-989-758-076-5
AU - Maul F.
AU - Damer N.
PY - 2015
SP - 218
EP - 222
DO - 10.5220/0005193302180222