A Hybrid Method Combining Modular Neural Networks with Fuzzy Integration for Human Identification Based on Hand Geometric Information

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 547)

Abstract

In this chapter a hybrid approach for human identification based on the hand geometric information is presented. The hybrid approach is based on using modular neural networks and fuzzy logic in a synergetic fashion to achieve effective and accurate hand biometric identification. Modular neural networks are used to recognize hand images based on the geometric information. Fuzzy logic is used to combine the performed recognition from several modular neural networks and the same time handle the uncertainty in the data. The proposed hybrid approach was implemented and tested with a benchmark database and experimental results show competitive identification rates when compared with the best methods proposed by other authors.

Keywords

Biometry Fuzzy logic Modular neural networks 

References

  1. 1.
    Melin, P., Castillo, O.: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing. Springer, Berlin, Heidelberg (2005)MATHGoogle Scholar
  2. 2.
    Melin, P., Olivas, F., Castillo, O., Valdez, F., Soria, J., García Valdez, J.: Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic. Expert Syst. Appl. 40(8), 3196–3206 (2013)CrossRefGoogle Scholar
  3. 3.
    Montiel, O., Camacho, J., Sepúlveda, R., Castillo O.: Fuzzy system to control the movement of a wheeled mobile robot. In: Soft Computing for Intelligent Control and Mobile Robotics, pp. 445–463. Springer, Berlin, Heidelberg (2011)Google Scholar
  4. 4.
    Montiel, O., Sepulveda, R., Melin, P., Castillo, O., Porta, M., Meza, I.: Performance of a simple tuned fuzzy controller and a PID controller on a DC motor. In: FOCI 2007, pp. 531–537Google Scholar
  5. 5.
    Kong, A., Zhang, D., Kamel, M.: A survey of palmprint recognition. Pattern Recogn. 42, 1408–1418 (2009)CrossRefGoogle Scholar
  6. 6.
    Jang, R., Tsai-Sun, C., Mizutani, E.: Neuro-Fuzzy and Soft Computing, 1st edn. Prentice Hall, Upper Saddle River (1996)Google Scholar
  7. 7.
    Hagan, M., et al.: Neural Network Design. Thomson Learning, Pacific Grove (1996)Google Scholar
  8. 8.
    Luger, G., Stubblefield, W.: Artificial Intelligence. Structures and Strategies for Complex Problem Solving, 3rd edn. Addison Wesley, Reading (1998)Google Scholar
  9. 9.
    Rojas, R.: Neural Networks: A Systematic Introduction. Springer, New York (1996)CrossRefGoogle Scholar
  10. 10.
    PolyU Multispectral Palmprint Database. http://www4.comp.polyu.edu.hk/Ebiometrics/MultispectralPalmprint/MSP_files. Accessed October 2011
  11. 11.
    Coxeter, H.: Projective Geometry, 2nd edn. Springer, New York (2003)MATHGoogle Scholar
  12. 12.
    Chen, J., Moon, Y., et al.: Palmprint authentication using a symbolic representation of images. Image Vis. Comput. 28, 343–351 (2010)CrossRefGoogle Scholar
  13. 13.
    Guo, Z.: Online multispectral palmprint recognition. Thesis, Hong Kong Polytechnic University (2009)Google Scholar
  14. 14.
    Kumar, A., Zhang, D.: Biometric recognition using entropy-based discretization. In: Proceedings of 2007 IEEE International Conference on Acoustics Speech and Signal Processing, pp. 125–128 (2007)Google Scholar
  15. 15.
    Öden, C., Yildiz, T., et al.: Hand recognition using implicit polynomials and geometric features. In: Lecture Notes in Computer Science, vol. 2091, pp. 336–341. Springer, New York (2001)Google Scholar
  16. 16.
    Lu, G., Zhang, D., et al.: Palmprint recognition using eigenpalms features. Pattern Recogn. Lett. 24, 1463–1467 (2003)CrossRefMATHGoogle Scholar
  17. 17.
    Wu, X., Zhang, D., et al.: Fisherpalms based palmprint recognition. Pattern Recogn. Lett. 24, 2829–2838 (2003)CrossRefGoogle Scholar
  18. 18.
    Zunkel, R.: Hand geometry based authentication. In: Jain, A.K., Bolle, R., Pankanti, S. (eds.) Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers, Boston (1998)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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