High performance iris recognition based on LDA and LPCC

@article{Chu2005HighPI,
  title={High performance iris recognition based on LDA and LPCC},
  author={Chia Te Chu and Ching-Han Chen},
  journal={17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)},
  year={2005},
  pages={5 pp.-421}
}
In this paper, the iris recognition algorithm based on LPCC and LDA is first presented. So far, the two algorithms are not found for iris recognition in literature. In addition, a simple and fast training algorithm, particle swarm optimization (PSO), is also introduced for training the probabilistic neural network (PNN). Finally, a comparative experiment of existing methods for iris recognition is evaluated on CASIA iris image databases. The proposed algorithms can achieve 100% recognition… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-9 OF 9 REFERENCES

Face Recognition Using LDABased Algorithms

  • Ching-Han CHEN, Chia-Te CHU, Kostantinos N. Plataniotis, Anasios N. Venetsanopoulos
  • IEEE Trans . Neural Networks
  • 2002

Biometric Personal Identification System Based on Iris Analysis, United States Patent

  • J. Daugman
  • no. 5291560,
  • 1994

Recognizing Human Eyes,

  • P. W. Hallinan
  • Geometric Methods Comput. Vision
  • 1991

A MachineVision System for Iris Recognition

  • R. Kolczynski, J. Matey, S. McBride
  • IEEE Trans . Pattern Analysis and Machine…

Similar Papers

Loading similar papers…