Development of Iris Security System Using Adaptive Quality-Based Template Fusion

@inproceedings{Eid2015DevelopmentOI,
  title={Development of Iris Security System Using Adaptive Quality-Based Template Fusion},
  author={M. M. Eid and M. A. Mohamed and M. A. Abou-El-Soud},
  booktitle={ECC},
  year={2015}
}
Recently, the interface of computer technologies and biology has an enormous impact on society. Human recognition research projects promise a new life to various security consulting. Iris recognition is considered to be one of the exceedingly reliable authentication systems. To account for iris data variations, nearly of all iris systems store multiple templates per each user. Approaching to overcome the storage space and computation overheads, this paper proposes an intelligent fusion… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • An experimental work reveals a reduction in database size by nearly a 78 % and an increase of verification speed of about 85.25 % is achieved while 14.75 % of computation time in the shifting process is only required. Comparing with existing algorithms, the proposed algorithm gives an accuracy of 96.52 and 99.72 % for TRR and TAR, respectively for closed loop tested dataset.