Iris Image Recognition Based on Independent Component Analysis and Support Vector Machine
Abstract: The iris has a very
unique texture and pattern, different for each individual and the pattern will remain
stable, making possible what biometric technology call iris recognition. In this
paper, 150 irisimages from the Department of Computer Science, Palacky
University in Olomouc iris database are usedfor iris recognition based on
independent component analysis and support vector machine. There are three steps
for developing this research namely, image preprocessing, feature extraction
and recognition. The first step is image preprocessing in order to get the iris
region from the eye image. The second is feature extraction by using
independent component analysis in order to get the feature from the iris image.Support
vector machine (SVM) is used for iris classification and recognition. In the
end of this experiment, the implement method will be evaluated based upon
Genuine Acceptance Rate (GAR). Experimental results show that the recognised
rate from the variation of training data is 52% with one data train, 73% with
two data trains and 90% three data trains. From the experimental result, it
also shows that this technique produces a good performance.
Keywords: Iris Recognition,
Biometric, Independent Component Analysis, Support Vector Machine, Iris Processing
Author: Muhammad Fachrurrozi
Journal Code: jptkomputergg150047
