Abstract: In a biometric system a person is identified automatically by processing the unique features that are posed by the individual. Iris Recognition is regarded as the most reliable and accurate biometric identification system available. In Iris Recognition a person is identified by the iris which is the part of eye using pattern matching or image processing using concepts of neural networks. The aim is to identify a person in real time, with high efficiency and accuracy by analysing the random patters visible within the iris if an eye from some distance, by implementing modified Canny edge detector algorithm. The major applications of this technology so far have been: substituting for passports (automated international border crossing); aviation security and controlling access to restricted areas at airports; database access and computer login.

Neha Kak, Rishi Gupta and Sanchit Mahajan, “Iris Recognition System ” International Journal of Advanced Computer Science and Applications(IJACSA), 1(1), 2010. http://dx.doi.org/10.14569/IJACSA.2010.010106

@article{Kak2010,
title = {Iris Recognition System },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2010.010106},
url = {http://dx.doi.org/10.14569/IJACSA.2010.010106},
year = {2010},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Neha Kak and Rishi Gupta and Sanchit Mahajan}
}