TY  - JOUR
T1  - A Hybrid Neuro-Genetic System for Iris Recognition
AU - Elantamilan, D. AU - Raja, V. SaiShanmuga AU - Rajagopalan, S.P. 
JO  - Asian Journal of Information Technology
VL  - 16
IS  - 9
SP  - 727
EP  - 733
PY  - 2017
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2017.727.733
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2017.727.733
KW  - Recognition
KW  -confinement
KW  -diminish
KW  -recuperation
KW  -reenactment
KW  -demonstrate
AB  - In this research, we have presented a technique for individual recognizable proof in view of iris
recognition utilizing genetic algorithm and neural network. The procedure of iris recognition comprises of
confinement of the iris locale and area of information set of iris pictures took after by iris design recognition.
A neural network is utilized to diminish the low recognition rate, low accuracy and expanded time of
recuperation. Here, the genetic algorithm is utilized to upgrade the neural networks parameters. The reenactment
comes about demonstrate a decent recognizable proof rate and lessened preparing time. The iris became
a much-explored field. Human iris contains unique and very important information about persons.
ER  -