Comparative analysis of selected feature extraction techniques for iris recognition system
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Date
2018-06
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Publisher
FUW Trends in Science & Technology Journa
Abstract
The complexity of features extraction has a great influence on the program and processing speed of iris recognition
system. Inappropriate feature extraction methods use in the representation of iris images may affect the
classification accuracy of iris recognition system. It is important in iris recognition technology to look into
different feature extraction techniques. This paper addresses the challenge of how to deduce the effectiveness of
some feature extraction methods by carrying out comparative analysis on selected feature extraction techniques:
Gabor Wavelet Transform, Scale Invariant Feature Transform (SIFT) and Haar Wavelet Transform. The
experimental evaluation of the feature extraction techniques based on CASIA iris dataset gave different results of
each technique. Finally, it was showed that the Gabor Wavelet Transform technique outperformed the other two
techniques in term of recognition accuracy, training and testing time