BibTeX:

@article{IJIRSTV3I1160,
     title={Indian Iris Recognition System using Ant Colony Optimization},
     author={Jyoti Sahu and Shubham Yadav},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={197--204},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1160.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Iris popularity has become popular now a day’s due to its uniqueness and stability. Among all the others biometrics as face, thumb, voice recognitions, iris popularity getting greater famous in research areas in biometrics reputation. In other biometrics aside from iris, it'll be visible that there is a few kind of biological alteration in face, voice, and thumb over human life of span from start to older age. In this paper we are the usage of modified way of Libormasek method. In modified Libormasek method mainly 3 levels preprocessing, feature extraction is based on Ant colony optimization (ACO), template matching plus calculation of middle coordinates, inner and outer radius of iris in eye image. Right here we're the usage of IIT Delhi database for our iris recognition.

Iris recognition, ant colony optimization, Segmentation