IRIS RECOGNITION BASED ON HILBERT–HUANG TRANSFORM 1 ...

640 Z.Yang,Z.Yang&L.Yang
5. Conclusions
Recently, iris recognition has received increasing attention for human identification
due to its high reliability. HHT is an analysis method for nonlinear and
nonstationary data. In this paper, we have presented an efficient iris recognition
method based on HHT by extracting the main frequency center information. This
new method benefits a lot: firstly, its dimension of feature vector is very low compared
with the other famous methods; secondly, other than most of other iris
recognition methods, our method need not do the enhancement processing in the
iris image preprocessing and is illumination-invariant; thirdly, unlike most existing
methods to achieve approximate rotation invariance by defining several templates
denoting other angles, our method is really rotation-invariant; fourthly, it is robust
to high frequency noise; Moreover, the experimental results on the CASIA iris
database show that the correct recognition rate of the proposed method is encouraging
and comparable to the best iris recognition algorithm. In addition, the proposed
method has demonstrated that HHT is a powerful tool for feature extraction
and will be useful for many other pattern recognitions.
Acknowledgments
Portions of the research in this paper use the CASIA iris image database collected
by Institute of Automation, Chinese Academy of Sciences.
This work is supported by NSFC (Nos. 10631080, 60873088, 60475042), and
NSFGD (No. 9451027501002552).
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