DocumentCode :
3393597
Title :
An efficient dual stage approach for iris feature extraction using interest point pairing
Author :
Mehrotra, Hunny ; Badrinath, G.S. ; Majhi, Banshidhar ; Gupta, Phalguni
Author_Institution :
Dept. of CSE, Nat. Inst. of Technol., Rourkela
fYear :
2009
fDate :
March 30 2009-April 2 2009
Firstpage :
59
Lastpage :
62
Abstract :
This paper proposes a novel feature extraction and matching technique for iris recognition using interest points. The feature set comprises of spatial location of corner points and entropy information of the window around the corner. Corner matching is an elementary problem that is resolved using dual stage approach. At first stage the potential corners are obtained by finding Euclidean distance between spatial coordinates. These potential corners are used to find actual corners based on their affinity around a window, which is measured using mutual information (MI). For the purpose of evaluating experimental results three different datasets i.e., BATH, CASIA and IITK are used. The proposed dual stage approach has accuracy more than 98% with FRR of 0.0% and FAR of 2.61%.
Keywords :
biometrics (access control); feature extraction; image matching; image recognition; BATH; CASIA; Euclidean distance; IITK; corner matching; corner points; dual stage approach; entropy information; interest point pairing; iris feature extraction; iris recognition; matching technique; mutual information; spatial coordinates; spatial location; Convolution; Data preprocessing; Discrete cosine transforms; Entropy; Euclidean distance; Feature extraction; Gabor filters; Iris recognition; Lighting; Mutual information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, 2009. CIB 2009. IEEE Workshop on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2773-4
Type :
conf
DOI :
10.1109/CIB.2009.4925687
Filename :
4925687
Link To Document :
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