%0 Journal Article
%T Iris Recognition using Mel-Fequency Cepstral Coefficient
%A Shibli Nisar
%A Mushtaq Ali Khan
%A Muhammad Usman
%J International Journal of Engineering Research
%V 3
%N 2
%P 100-103
%D 2014
%I IJER
%X This paper proposes Iris feature extraction 
using Mel Frequency Cepstral Coefficient (MFCC). MFCC 
is originally used for speech and speaker recognition. The 
MFCC is applied in Iris recognition and the results obtained 
are very accurate and satisfactory. The system first takes the 
eye pattern of a person and after converting to 1D signal the 
MFCC is applied which extracts Iris features. The features 
are then compared with the features obtained in Enrollment 
phase, and decision is made after taking Euclidean distance.
%K recognition
%K recognition system
%K Mel- Fequency Ceptral Coefficient
%K Iris
%U http://www.ijer.in/ijer/publication/v3s2/IJER_2014_213.pdf