Yang, Zhijing and Yang, Zhihua and Yang, Lihua (2009) Iris recognition based on Hilbert-Huang transform. Advances in Adaptive Data Analysis, 1 (4). pp. 623-641. ISSN 1793-5369

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Abstract

As a reliable approach for human identification, iris recognition has received increasing attention in recent years. This paper proposes a new analysis method for iris recognition based on Hilbert–Huang transform (HHT). We first divide a normalized iris image into several subregions. Then the main frequency center information ased on HHT of each subregion is employed to form the feature vector. The proposed iris recognition method has nice properties, such as translation invariance, scale invariance, rotation invariance, illumination invariance and robustness to high frequency noise. Moreover, the xperimental results on the CASIA iris database which is the largest publicly available iris image data sets show that the performance of the proposed method is encouraging and comparable to the best iris recognition algorithm found in the current literature.

Item Type:	Article
Additional Information:	As a reliable approach for human identification, iris recognition has received increasing attention in recent years. This paper proposes a new analysis method for iris recognition based on Hilbert–Huang transform (HHT). We first divide a normalized iris image into several subregions. Then the main frequency center information ased on HHT of each subregion is employed to form the feature vector. The proposed iris recognition method has nice properties, such as translation invariance, scale invariance, rotation invariance, illumination invariance and robustness to high frequency noise. Moreover, the xperimental results on the CASIA iris database which is the largest publicly available iris image data sets show that the performance of the proposed method is encouraging and comparable to the best iris recognition algorithm found in the current literature.
Keywords:	Iris recognition, empirical mode decomposition (EMD), Hilbert–Huang transform (HHT), main frequency center
Subjects:	G Mathematical and Computer Sciences > G120 Applied Mathematics
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User:	Zhijing Yang
Date Deposited:	13 Feb 2011 19:30
Last Modified:	13 Mar 2013 08:55
URI:	http://eprints.lincoln.ac.uk/id/eprint/4016

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