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2013 (Vol. 6, Issue: 07)
Article Information:

A Finger Vein Recognition Method Using Improved Oriented Filter and Elastic Registration

Ma Hui, Popoola Oluwatoyin P. and Sun Shuli
Corresponding Author:  Ma Hu 

Key words:  Elastic registration, finger vein recognition, improved oriented filter, minutia point feature, , ,
Vol. 6 , (07): 1153-1159
Submitted Accepted Published
June 30, 2012 July 26, 2012 July 05, 2013

In order to reduce the influence of relative position deviation and angle deviation between minutia point sets caused by external factors when finger vein images are obtained, a finger vein recognition method using elastic registration is presented. The proposed algorithm is based on an improved neighborhood direction template and oriented filter template which facilitates the enhancement of the finger vein image while taking full account of image orientation. Elastic registration is then applied to matching of feature points within the predefined angle and radius. Applying the idea of elastic registration to existing finger vein recognition method removes the need for perfect matching between corresponding feature points and has shown to be an effective method for dealing with the problem of nonlinear distortion of images. Experimental results show that this algorithm not only overcomes the limitations of traditional point matching method, but also effectively improves the recognition performance of the system.
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  Cite this Reference:
Ma Hui, Popoola Oluwatoyin P. and Sun Shuli, 2013. A Finger Vein Recognition Method Using Improved Oriented Filter and Elastic Registration.  Research Journal of Applied Sciences, Engineering and Technology, 6(07): 1153-1159.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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