DSP-based implementation and optimization of an iris verification algorithm using textural feature

Authors:
Richard Yew Fatt Ng;Yong Haur Tay;Kai Ming Mok
Affiliations:
Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia;Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia;Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Year:
2009

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Abstract

In this paper, iris verification algorithm using textural feature and its implementation and optimization on Digital Signal Processor (DSP) are presented. An innovative method is proposed to extract the iris textural feature. The method evaluates on iris images taken from the CASIA iris image database version 1.0 [1]. Experimental results show that the proposed method has achieved high accuracy of 98.62%. For the DSP implementation, the algorithm is mapped into DSP without compromising performance. Optimization is done by source code tuning, loop optimization using pragmas and optimizing conditional code. Experimental results demonstrate that the iris verification system is capable to complete verification in less than one second. The DSP based iris verification system provides a low power and fast authentication solution within a compact device.