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Efficient Small Template Iris Recognition System Using Wavelet Transform
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International Journal of Biometrics and Bioinformatics (IJBB)
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Volume:  5    Issue:  1
Pages:  1-27
Publication Date:   March / April 2011
ISSN (Online): 1985-2347
Pages 
16 - 27
Author(s)  
Mohammed A. M. Abdullah - Iraq
F. H. A. Al-Dulaimi - Iraq
Waleed Al-Nuaimy - United Kingdom
Ali Al-Ataby - United Kingdom
 
Published Date   
04-04-2011 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Iris Recognition, Feature Extraction, Wavelet Transform 
 
 
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Iris recognition is known as an inherently reliable biometric technique for human identification. Feature extraction is a crucial step in iris recognition, and the trend nowadays is to reduce the size of the extracted features. Special efforts have been applied in order to obtain low templates size and fast verification algorithms. These efforts are intended to enable a human authentication in small embedded systems, such as an Integrated Circuit smart card. In this paper, an effective eyelids removing method, based on masking the iris, has been applied. Moreover, an efficient iris recognition encoding algorithm has been employed. Different combination of wavelet coefficients which quantized with multiple quantization levels are used and the best wavelet coefficients and quantization levels are determined. The system is based on an empirical analysis of CASIA iris database images. Experimental results show that this algorithm is efficient and gives promising results of False Accept Ratio (FAR) = 0% and False Reject Ratio (FRR) = 1% with a template size of only 364 bits.  
 
 
 
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1 TechRepublic
 
2 silicon.com
 
3 ZDNet
 
4 The University of Liverpool Information Portal
 
5 Mohammed A. M. Abdullah
 
 
 
Mohammed A. M. Abdullah : Colleagues
F. H. A. Al-Dulaimi : Colleagues
Waleed Al-Nuaimy : Colleagues
Ali Al-Ataby : Colleagues  
 
 
 
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