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Title of Journal: Pattern Anal Applic

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Abbravation: Pattern Analysis and Applications

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Springer London

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DOI

10.1016/0273-1177(95)00694-a

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ISSN

1433-755X

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Texture code matrixbased multiinstance iris reco

Authors: Saiyed Umer Bibhas Chandra Dhara Bhabatosh Chanda
Publish Date: 2015/05/12
Volume: 19, Issue: 1, Pages: 283-295
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Abstract

This paper proposes a novel texture feature for iris recognition The iris recognition system consists of three major components preprocessing feature extraction and classification During preprocessing iris is segmented using constrained circular Hough transform which reduces both time and space complexity In this work from normalized iris image a novel texture code matrix is generated which is then used to obtain a cooccurrence matrix Finally desired texture features are computed from this cooccurrence matrix Here a twoclass classification technique is adopted to develop a multiclass multimodal biometric system using fusion The performance of the proposed system is tested on four standard iris image databases namely UPOL CASIAIris V3 Interval MMU1 and IITD which shows the efficacy of the proposed feature

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  2. Computer vision techniques for traffic flow computation
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  12. On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features
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  14. Unsupervised learning of arbitrarily shaped clusters using ensembles of Gaussian models
  15. Parametric and nonparametric tests for speckled imagery
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