BibTeX:

@article{IJIRSTV3I9065,
     title={Improving Far and FRR of an Iris Recognition System},
     author={Neha Kochher and Sahil Kochher},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={9},
     pages={190--196},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I9065.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The richness and apparent stability of the iris texture make it a very strong biometric trait for personal authentication. The need of personal identification and security has increased a lot during recent times. A typical iris recognition procedure basically consists of four steps: image acquisition, segmentation, normalization and feature extraction. A very well-known existing technique, the Hough Transform has been implemented for detection of iris and pupil boundaries of the eyes. In the existing system the performance of system degrades due to noise effects and poor segmentation results. The noise in the form of eye lids is removed by Daugman’s method.

Iris, Hough Transform, Daugman’s Method